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You searched for subject:(Multiple Imputation). Showing records 1 – 30 of 163 total matches.

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University of Georgia

1. Wang, Qun. Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables.

Degree: MS, Statistics, 2004, University of Georgia

 The presence of missing or incomplete data is a ubiquitous problem in real world datasets. In the thesis, we apply multiple imputation procedures to analyze… (more)

Subjects/Keywords: multiple imputation

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APA (6th Edition):

Wang, Q. (2004). Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms

Chicago Manual of Style (16th Edition):

Wang, Qun. “Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables.” 2004. Masters Thesis, University of Georgia. Accessed December 10, 2019. http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms.

MLA Handbook (7th Edition):

Wang, Qun. “Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables.” 2004. Web. 10 Dec 2019.

Vancouver:

Wang Q. Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables. [Internet] [Masters thesis]. University of Georgia; 2004. [cited 2019 Dec 10]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms.

Council of Science Editors:

Wang Q. Investigation of multiple imputation procedures in the presence of missing quantitative and categorical variables. [Masters Thesis]. University of Georgia; 2004. Available from: http://purl.galileo.usg.edu/uga_etd/wang_qun_200408_ms


Victoria University of Wellington

2. Luo, Maoxin. Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data.

Degree: 2013, Victoria University of Wellington

 The Food Nutrition Environment Survey (FNES) is a survey of New Zealand early childhood centres and schools and the food and nutritional services that they… (more)

Subjects/Keywords: Multiple imputation; Bayesian; Missing data

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APA (6th Edition):

Luo, M. (2013). Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2796

Chicago Manual of Style (16th Edition):

Luo, Maoxin. “Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data.” 2013. Masters Thesis, Victoria University of Wellington. Accessed December 10, 2019. http://hdl.handle.net/10063/2796.

MLA Handbook (7th Edition):

Luo, Maoxin. “Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data.” 2013. Web. 10 Dec 2019.

Vancouver:

Luo M. Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data. [Internet] [Masters thesis]. Victoria University of Wellington; 2013. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10063/2796.

Council of Science Editors:

Luo M. Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data. [Masters Thesis]. Victoria University of Wellington; 2013. Available from: http://hdl.handle.net/10063/2796


University of the Western Cape

3. Karangwa, Innocent. Imputation techniques for non-ordered categorical missing data .

Degree: 2016, University of the Western Cape

 Missing data are common in survey data sets. Enrolled subjects do not often have data recorded for all variables of interest. The inappropriate handling of… (more)

Subjects/Keywords: Missing data; Multiple imputation; Multiple imputation by chained equations; Multivariate normal imputation

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APA (6th Edition):

Karangwa, I. (2016). Imputation techniques for non-ordered categorical missing data . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/5061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karangwa, Innocent. “Imputation techniques for non-ordered categorical missing data .” 2016. Thesis, University of the Western Cape. Accessed December 10, 2019. http://hdl.handle.net/11394/5061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karangwa, Innocent. “Imputation techniques for non-ordered categorical missing data .” 2016. Web. 10 Dec 2019.

Vancouver:

Karangwa I. Imputation techniques for non-ordered categorical missing data . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/11394/5061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karangwa I. Imputation techniques for non-ordered categorical missing data . [Thesis]. University of the Western Cape; 2016. Available from: http://hdl.handle.net/11394/5061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

4. Brydon, Humphrey Charles. Missing imputation methods explored in big data analytics .

Degree: 2018, University of the Western Cape

 The aim of this study is to look at the methods and processes involved in imputing missing data and more specifically, complete missing blocks of… (more)

Subjects/Keywords: Missing data; Imputation methods; Multiple imputation; Neural network; Bagging

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APA (6th Edition):

Brydon, H. C. (2018). Missing imputation methods explored in big data analytics . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/6605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brydon, Humphrey Charles. “Missing imputation methods explored in big data analytics .” 2018. Thesis, University of the Western Cape. Accessed December 10, 2019. http://hdl.handle.net/11394/6605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brydon, Humphrey Charles. “Missing imputation methods explored in big data analytics .” 2018. Web. 10 Dec 2019.

Vancouver:

Brydon HC. Missing imputation methods explored in big data analytics . [Internet] [Thesis]. University of the Western Cape; 2018. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/11394/6605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brydon HC. Missing imputation methods explored in big data analytics . [Thesis]. University of the Western Cape; 2018. Available from: http://hdl.handle.net/11394/6605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Oregon State University

5. Amer, Safaa R. Neural network imputation : a new fashion or a good tool.

Degree: PhD, Statistics, 2004, Oregon State University

 Most statistical surveys and data collection studies encounter missing data. A common solution to this problem is to discard observations with missing data while reporting… (more)

Subjects/Keywords: Multiple imputation (Statistics)

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APA (6th Edition):

Amer, S. R. (2004). Neural network imputation : a new fashion or a good tool. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/29926

Chicago Manual of Style (16th Edition):

Amer, Safaa R. “Neural network imputation : a new fashion or a good tool.” 2004. Doctoral Dissertation, Oregon State University. Accessed December 10, 2019. http://hdl.handle.net/1957/29926.

MLA Handbook (7th Edition):

Amer, Safaa R. “Neural network imputation : a new fashion or a good tool.” 2004. Web. 10 Dec 2019.

Vancouver:

Amer SR. Neural network imputation : a new fashion or a good tool. [Internet] [Doctoral dissertation]. Oregon State University; 2004. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/1957/29926.

Council of Science Editors:

Amer SR. Neural network imputation : a new fashion or a good tool. [Doctoral Dissertation]. Oregon State University; 2004. Available from: http://hdl.handle.net/1957/29926


University of Oxford

6. Rombach, Ines. The handling, analysis and reporting of missing data in patient reported outcome measures for randomised controlled trials.

Degree: PhD, 2016, University of Oxford

 Missing data is a potential source of bias in the results of randomised controlled trials (RCTs), which can have a negative impact on guidance derived… (more)

Subjects/Keywords: Multiple imputation; Missing data; Randomised controlled trials

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APA (6th Edition):

Rombach, I. (2016). The handling, analysis and reporting of missing data in patient reported outcome measures for randomised controlled trials. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:1d038192-69ca-4d34-9974-1bc092466dee ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730437

Chicago Manual of Style (16th Edition):

Rombach, Ines. “The handling, analysis and reporting of missing data in patient reported outcome measures for randomised controlled trials.” 2016. Doctoral Dissertation, University of Oxford. Accessed December 10, 2019. http://ora.ox.ac.uk/objects/uuid:1d038192-69ca-4d34-9974-1bc092466dee ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730437.

MLA Handbook (7th Edition):

Rombach, Ines. “The handling, analysis and reporting of missing data in patient reported outcome measures for randomised controlled trials.” 2016. Web. 10 Dec 2019.

Vancouver:

Rombach I. The handling, analysis and reporting of missing data in patient reported outcome measures for randomised controlled trials. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2019 Dec 10]. Available from: http://ora.ox.ac.uk/objects/uuid:1d038192-69ca-4d34-9974-1bc092466dee ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730437.

Council of Science Editors:

Rombach I. The handling, analysis and reporting of missing data in patient reported outcome measures for randomised controlled trials. [Doctoral Dissertation]. University of Oxford; 2016. Available from: http://ora.ox.ac.uk/objects/uuid:1d038192-69ca-4d34-9974-1bc092466dee ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730437


Wayne State University

7. Grace, Tammy A. The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test.

Degree: PhD, Education Evaluation and Research, 2016, Wayne State University

  ABSTRACT THE IMPACT OF MULTIPLE IMPUTATION ON THE TYPE II ERROR RATE OF THE T TEST by TAMMY A. GRACE August 2016 Advisor: Shlomo… (more)

Subjects/Keywords: Multiple Imputation; T Test; Statistics and Probability

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APA (6th Edition):

Grace, T. A. (2016). The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1536

Chicago Manual of Style (16th Edition):

Grace, Tammy A. “The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test.” 2016. Doctoral Dissertation, Wayne State University. Accessed December 10, 2019. https://digitalcommons.wayne.edu/oa_dissertations/1536.

MLA Handbook (7th Edition):

Grace, Tammy A. “The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test.” 2016. Web. 10 Dec 2019.

Vancouver:

Grace TA. The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test. [Internet] [Doctoral dissertation]. Wayne State University; 2016. [cited 2019 Dec 10]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1536.

Council of Science Editors:

Grace TA. The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test. [Doctoral Dissertation]. Wayne State University; 2016. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1536


Rice University

8. Berliner, Nathan K. Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness.

Degree: MA, Engineering, 2015, Rice University

 In this thesis multiple imputation, survival analysis, and propensity score analysis are combined in order to answer questions about treatment efficacy in cancer data with… (more)

Subjects/Keywords: Multiple Imputation; Survival Analysis; Causal Analysis

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APA (6th Edition):

Berliner, N. K. (2015). Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/87747

Chicago Manual of Style (16th Edition):

Berliner, Nathan K. “Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness.” 2015. Masters Thesis, Rice University. Accessed December 10, 2019. http://hdl.handle.net/1911/87747.

MLA Handbook (7th Edition):

Berliner, Nathan K. “Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness.” 2015. Web. 10 Dec 2019.

Vancouver:

Berliner NK. Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness. [Internet] [Masters thesis]. Rice University; 2015. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/1911/87747.

Council of Science Editors:

Berliner NK. Using Multiple Imputation, Survival Analysis, And Propensity Score Analysis In Cancer Data With Missingness. [Masters Thesis]. Rice University; 2015. Available from: http://hdl.handle.net/1911/87747


University of Notre Dame

9. Justin M. Luningham. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>.

Degree: PhD, Psychology, 2018, University of Notre Dame

  IDA refers to combining data from independent studies into a concatenated dataset and analyzing the new data jointly (Curran & Hussong, 2009). IDA is… (more)

Subjects/Keywords: Integrative Data Analysis; Multiple Imputation; Genetic Consortia

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APA (6th Edition):

Luningham, J. M. (2018). Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/xd07gq70t5b

Chicago Manual of Style (16th Edition):

Luningham, Justin M.. “Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>.” 2018. Doctoral Dissertation, University of Notre Dame. Accessed December 10, 2019. https://curate.nd.edu/show/xd07gq70t5b.

MLA Handbook (7th Edition):

Luningham, Justin M.. “Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>.” 2018. Web. 10 Dec 2019.

Vancouver:

Luningham JM. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2019 Dec 10]. Available from: https://curate.nd.edu/show/xd07gq70t5b.

Council of Science Editors:

Luningham JM. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. [Doctoral Dissertation]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/xd07gq70t5b

10. Magalhães, Ismenia Blavatsky de. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas.

Degree: PhD, Engenharia Mecânica, 2007, University of São Paulo

Redes Bayesianas são estruturas que combinam distribuições de probabilidade e grafos. Apesar das redes Bayesianas terem surgido na década de 80 e as primeiras tentativas… (more)

Subjects/Keywords: Bayesian networks; Imputação; Imputação múltipla; Imputation; Missing data; Multiple imputation; Não resposta; Redes Bayesianas

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APA (6th Edition):

Magalhães, I. B. d. (2007). Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;

Chicago Manual of Style (16th Edition):

Magalhães, Ismenia Blavatsky de. “Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas.” 2007. Doctoral Dissertation, University of São Paulo. Accessed December 10, 2019. http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;.

MLA Handbook (7th Edition):

Magalhães, Ismenia Blavatsky de. “Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas.” 2007. Web. 10 Dec 2019.

Vancouver:

Magalhães IBd. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2019 Dec 10]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;.

Council of Science Editors:

Magalhães IBd. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. [Doctoral Dissertation]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;


East Carolina University

11. Siver, Sydney R. Methods for Handling Missing Data for Multiple-Item Questionnaires.

Degree: 2017, East Carolina University

 Missing data is a common problem, especially in the social and behavioral sciences. Modern missing data methods are underutilized in the industrial/organizational psychology and human… (more)

Subjects/Keywords: person mean imputation; Monte Carlo; Missing observations (Statistics); Multiple imputation (Statistics); Questionnaires

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APA (6th Edition):

Siver, S. R. (2017). Methods for Handling Missing Data for Multiple-Item Questionnaires. (Thesis). East Carolina University. Retrieved from http://hdl.handle.net/10342/6517

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Siver, Sydney R. “Methods for Handling Missing Data for Multiple-Item Questionnaires.” 2017. Thesis, East Carolina University. Accessed December 10, 2019. http://hdl.handle.net/10342/6517.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Siver, Sydney R. “Methods for Handling Missing Data for Multiple-Item Questionnaires.” 2017. Web. 10 Dec 2019.

Vancouver:

Siver SR. Methods for Handling Missing Data for Multiple-Item Questionnaires. [Internet] [Thesis]. East Carolina University; 2017. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10342/6517.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Siver SR. Methods for Handling Missing Data for Multiple-Item Questionnaires. [Thesis]. East Carolina University; 2017. Available from: http://hdl.handle.net/10342/6517

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


George Mason University

12. Cheema, Jehanzeb. Handling Missing Data in Educational Research Using SPSS .

Degree: 2012, George Mason University

 This study looked at the effect of a number of factors such as the choice of analytical method, the handling method for missing data, sample… (more)

Subjects/Keywords: Imputation Method; Item Non-Response; Listwise Deletion; Missing Data; Multiple Imputation; Missing Value

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APA (6th Edition):

Cheema, J. (2012). Handling Missing Data in Educational Research Using SPSS . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/7840

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cheema, Jehanzeb. “Handling Missing Data in Educational Research Using SPSS .” 2012. Thesis, George Mason University. Accessed December 10, 2019. http://hdl.handle.net/1920/7840.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cheema, Jehanzeb. “Handling Missing Data in Educational Research Using SPSS .” 2012. Web. 10 Dec 2019.

Vancouver:

Cheema J. Handling Missing Data in Educational Research Using SPSS . [Internet] [Thesis]. George Mason University; 2012. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/1920/7840.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheema J. Handling Missing Data in Educational Research Using SPSS . [Thesis]. George Mason University; 2012. Available from: http://hdl.handle.net/1920/7840

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Sherbrooke

13. Bernard, Francis. Méthodes d'analyse des données incomplètes incorporant l'incertitude attribuable aux valeurs manquantes .

Degree: 2013, Université de Sherbrooke

 Lorsqu'on réalise une analyse des données dans le cadre d'une enquête, on est souvent confronté au problème des données manquantes. L'une des solutions les plus… (more)

Subjects/Keywords: Valeur manquante; Incertitude; Méthodes basées sur le rééchantillonnage; Imputation multiple à deux niveaux; Imputation multiple conventionnelle

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APA (6th Edition):

Bernard, F. (2013). Méthodes d'analyse des données incomplètes incorporant l'incertitude attribuable aux valeurs manquantes . (Masters Thesis). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/6571

Chicago Manual of Style (16th Edition):

Bernard, Francis. “Méthodes d'analyse des données incomplètes incorporant l'incertitude attribuable aux valeurs manquantes .” 2013. Masters Thesis, Université de Sherbrooke. Accessed December 10, 2019. http://hdl.handle.net/11143/6571.

MLA Handbook (7th Edition):

Bernard, Francis. “Méthodes d'analyse des données incomplètes incorporant l'incertitude attribuable aux valeurs manquantes .” 2013. Web. 10 Dec 2019.

Vancouver:

Bernard F. Méthodes d'analyse des données incomplètes incorporant l'incertitude attribuable aux valeurs manquantes . [Internet] [Masters thesis]. Université de Sherbrooke; 2013. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/11143/6571.

Council of Science Editors:

Bernard F. Méthodes d'analyse des données incomplètes incorporant l'incertitude attribuable aux valeurs manquantes . [Masters Thesis]. Université de Sherbrooke; 2013. Available from: http://hdl.handle.net/11143/6571

14. Teyssier, Geoffrey. Inequality of opportunity : measurement and impact on economic growth : Inégalité d'opportunité : mesure et effet sur la croissance économique.

Degree: Docteur es, Sciences économiques, 2017, Paris 1

Cette thèse porte sur la mesure de l'inégalité d'opportunité et son effet sur la croissance économique. Le Chapitre 1 étudie les propriétés axiomatiques de deux… (more)

Subjects/Keywords: Inégalité de revenus; Inégalité d'opportunité; Croissance économique; Imputation multiple; Income inequality; Inequality of opportunity; Economic growth; Multiple imputation

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APA (6th Edition):

Teyssier, G. (2017). Inequality of opportunity : measurement and impact on economic growth : Inégalité d'opportunité : mesure et effet sur la croissance économique. (Doctoral Dissertation). Paris 1. Retrieved from http://www.theses.fr/2017PA01E060

Chicago Manual of Style (16th Edition):

Teyssier, Geoffrey. “Inequality of opportunity : measurement and impact on economic growth : Inégalité d'opportunité : mesure et effet sur la croissance économique.” 2017. Doctoral Dissertation, Paris 1. Accessed December 10, 2019. http://www.theses.fr/2017PA01E060.

MLA Handbook (7th Edition):

Teyssier, Geoffrey. “Inequality of opportunity : measurement and impact on economic growth : Inégalité d'opportunité : mesure et effet sur la croissance économique.” 2017. Web. 10 Dec 2019.

Vancouver:

Teyssier G. Inequality of opportunity : measurement and impact on economic growth : Inégalité d'opportunité : mesure et effet sur la croissance économique. [Internet] [Doctoral dissertation]. Paris 1; 2017. [cited 2019 Dec 10]. Available from: http://www.theses.fr/2017PA01E060.

Council of Science Editors:

Teyssier G. Inequality of opportunity : measurement and impact on economic growth : Inégalité d'opportunité : mesure et effet sur la croissance économique. [Doctoral Dissertation]. Paris 1; 2017. Available from: http://www.theses.fr/2017PA01E060


Université Paris-Sud – Paris XI

15. Marti soler, Helena. Modélisation des données d'enquêtes cas-cohorte par imputation multiple : application en épidémiologie cardio-vasculaire : Modeling of case-cohort data by multiple imputation : application to cardio-vascular epidemiology.

Degree: Docteur es, Biostatistiques, 2012, Université Paris-Sud – Paris XI

 Les estimateurs pondérés généralement utilisés pour analyser les enquêtes cas-cohorte ne sont pas pleinement efficaces. Or, les enquêtes cas-cohorte sont un cas particulier de données… (more)

Subjects/Keywords: Enquêtes cas-cohorte; Estimateurs pondérés; Imputation multiple; Capacité prédictive; Case-cohort surveys; Weighted estimators; Multiple imputation; Predictive ability

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APA (6th Edition):

Marti soler, H. (2012). Modélisation des données d'enquêtes cas-cohorte par imputation multiple : application en épidémiologie cardio-vasculaire : Modeling of case-cohort data by multiple imputation : application to cardio-vascular epidemiology. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2012PA11T022

Chicago Manual of Style (16th Edition):

Marti soler, Helena. “Modélisation des données d'enquêtes cas-cohorte par imputation multiple : application en épidémiologie cardio-vasculaire : Modeling of case-cohort data by multiple imputation : application to cardio-vascular epidemiology.” 2012. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed December 10, 2019. http://www.theses.fr/2012PA11T022.

MLA Handbook (7th Edition):

Marti soler, Helena. “Modélisation des données d'enquêtes cas-cohorte par imputation multiple : application en épidémiologie cardio-vasculaire : Modeling of case-cohort data by multiple imputation : application to cardio-vascular epidemiology.” 2012. Web. 10 Dec 2019.

Vancouver:

Marti soler H. Modélisation des données d'enquêtes cas-cohorte par imputation multiple : application en épidémiologie cardio-vasculaire : Modeling of case-cohort data by multiple imputation : application to cardio-vascular epidemiology. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2012. [cited 2019 Dec 10]. Available from: http://www.theses.fr/2012PA11T022.

Council of Science Editors:

Marti soler H. Modélisation des données d'enquêtes cas-cohorte par imputation multiple : application en épidémiologie cardio-vasculaire : Modeling of case-cohort data by multiple imputation : application to cardio-vascular epidemiology. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2012. Available from: http://www.theses.fr/2012PA11T022


University of Illinois – Chicago

16. Helenowski, Irene B. Multiple Imputation via a Semi-Parametric Probability Integral Transformation.

Degree: 2012, University of Illinois – Chicago

 In real data scenarios, the distribution of the data is often unknown. Therefore, methods for imputing data which relax distributional or model assumptions may be… (more)

Subjects/Keywords: multiple imputation; random number generation; empirical cumulative distribution function

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Helenowski, I. B. (2012). Multiple Imputation via a Semi-Parametric Probability Integral Transformation. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/8652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Helenowski, Irene B. “Multiple Imputation via a Semi-Parametric Probability Integral Transformation.” 2012. Thesis, University of Illinois – Chicago. Accessed December 10, 2019. http://hdl.handle.net/10027/8652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Helenowski, Irene B. “Multiple Imputation via a Semi-Parametric Probability Integral Transformation.” 2012. Web. 10 Dec 2019.

Vancouver:

Helenowski IB. Multiple Imputation via a Semi-Parametric Probability Integral Transformation. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10027/8652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Helenowski IB. Multiple Imputation via a Semi-Parametric Probability Integral Transformation. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/8652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

17. Nieh, Chiping. Using Mass Balance, Factor Analysis, and Multiple Imputation to Assess Health Effects of Water Quality.

Degree: 2012, University of Illinois – Chicago

 This dissertation explores the use of three analytical methods to improve the utility of microbial water quality data, collected on the Chicago River from 2007… (more)

Subjects/Keywords: Multiple imputation; factor analysis; chemical mass balance model; surface water quality

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nieh, C. (2012). Using Mass Balance, Factor Analysis, and Multiple Imputation to Assess Health Effects of Water Quality. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/8658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nieh, Chiping. “Using Mass Balance, Factor Analysis, and Multiple Imputation to Assess Health Effects of Water Quality.” 2012. Thesis, University of Illinois – Chicago. Accessed December 10, 2019. http://hdl.handle.net/10027/8658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nieh, Chiping. “Using Mass Balance, Factor Analysis, and Multiple Imputation to Assess Health Effects of Water Quality.” 2012. Web. 10 Dec 2019.

Vancouver:

Nieh C. Using Mass Balance, Factor Analysis, and Multiple Imputation to Assess Health Effects of Water Quality. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10027/8658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nieh C. Using Mass Balance, Factor Analysis, and Multiple Imputation to Assess Health Effects of Water Quality. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/8658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Washington University in St. Louis

18. Murden, Raphiel. Examining The Effectiveness Of Multiple Imputation: A Case Study On Hiv Risk Behaviors In Women Receiving Treatment For Substance Use Disorders.

Degree: MA, Mathematics, 2011, Washington University in St. Louis

 Women in the United States are becoming infected with HIV more quickly now than ever before; many of whom are at higher risk because of… (more)

Subjects/Keywords: Statistics; Missing data, Multiple Imputation, HIV, Substance Use Disorder, Women

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APA (6th Edition):

Murden, R. (2011). Examining The Effectiveness Of Multiple Imputation: A Case Study On Hiv Risk Behaviors In Women Receiving Treatment For Substance Use Disorders. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Murden, Raphiel. “Examining The Effectiveness Of Multiple Imputation: A Case Study On Hiv Risk Behaviors In Women Receiving Treatment For Substance Use Disorders.” 2011. Thesis, Washington University in St. Louis. Accessed December 10, 2019. https://openscholarship.wustl.edu/etd/496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Murden, Raphiel. “Examining The Effectiveness Of Multiple Imputation: A Case Study On Hiv Risk Behaviors In Women Receiving Treatment For Substance Use Disorders.” 2011. Web. 10 Dec 2019.

Vancouver:

Murden R. Examining The Effectiveness Of Multiple Imputation: A Case Study On Hiv Risk Behaviors In Women Receiving Treatment For Substance Use Disorders. [Internet] [Thesis]. Washington University in St. Louis; 2011. [cited 2019 Dec 10]. Available from: https://openscholarship.wustl.edu/etd/496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Murden R. Examining The Effectiveness Of Multiple Imputation: A Case Study On Hiv Risk Behaviors In Women Receiving Treatment For Substance Use Disorders. [Thesis]. Washington University in St. Louis; 2011. Available from: https://openscholarship.wustl.edu/etd/496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North-West University

19. Liebenberg, Shawn Carl. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .

Degree: 2014, North-West University

 Scientists often encounter unobserved or missing measurements that are typically reported as less than a fixed detection limit. This especially occurs in the environmental sciences… (more)

Subjects/Keywords: Multiple imputation; Detection limit; Maximum likelihood estimation; Kernel density estimation; Bootstrap

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APA (6th Edition):

Liebenberg, S. C. (2014). Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/15363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liebenberg, Shawn Carl. “Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .” 2014. Thesis, North-West University. Accessed December 10, 2019. http://hdl.handle.net/10394/15363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liebenberg, Shawn Carl. “Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg .” 2014. Web. 10 Dec 2019.

Vancouver:

Liebenberg SC. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . [Internet] [Thesis]. North-West University; 2014. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10394/15363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liebenberg SC. Multiple imputation in the presence of a detection limit, with applications : an empirical approach / Shawn Carl Liebenberg . [Thesis]. North-West University; 2014. Available from: http://hdl.handle.net/10394/15363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

20. Medhanie, Amanuel Gebri. The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models.

Degree: PhD, Educational Psychology, 2013, University of Minnesota

 Missing data often present problems for credible statistical analyses. Luckily there are valid methods for dealing with missing data but the context in which the… (more)

Subjects/Keywords: Hierarchical linear models; Missing data; Multilevel; Multiple imputation; Nested data; PAN

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Medhanie, A. G. (2013). The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/155986

Chicago Manual of Style (16th Edition):

Medhanie, Amanuel Gebri. “The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models.” 2013. Doctoral Dissertation, University of Minnesota. Accessed December 10, 2019. http://purl.umn.edu/155986.

MLA Handbook (7th Edition):

Medhanie, Amanuel Gebri. “The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models.” 2013. Web. 10 Dec 2019.

Vancouver:

Medhanie AG. The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Dec 10]. Available from: http://purl.umn.edu/155986.

Council of Science Editors:

Medhanie AG. The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/155986


University of Rochester

21. Hebert, Donald Joseph. Global Tests for Multiple Outcomes in Randomized Trials.

Degree: PhD, 2016, University of Rochester

 Methods for analyses of multiple outcome variables in randomized trials are prevalent throughout the statistical literature. Research for the case where the interest is in… (more)

Subjects/Keywords: Global testing; Multiples outcomes; Missing data; Linear combinations; Multiple imputation

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APA (6th Edition):

Hebert, D. J. (2016). Global Tests for Multiple Outcomes in Randomized Trials. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/31567

Chicago Manual of Style (16th Edition):

Hebert, Donald Joseph. “Global Tests for Multiple Outcomes in Randomized Trials.” 2016. Doctoral Dissertation, University of Rochester. Accessed December 10, 2019. http://hdl.handle.net/1802/31567.

MLA Handbook (7th Edition):

Hebert, Donald Joseph. “Global Tests for Multiple Outcomes in Randomized Trials.” 2016. Web. 10 Dec 2019.

Vancouver:

Hebert DJ. Global Tests for Multiple Outcomes in Randomized Trials. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/1802/31567.

Council of Science Editors:

Hebert DJ. Global Tests for Multiple Outcomes in Randomized Trials. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/31567


University of Adelaide

22. Sullivan, Thomas Richard. Multiple Imputation for Handling Missing Outcome Data.

Degree: 2017, University of Adelaide

 Background: Multiple imputation is a widely used approach to handling missing data. Despite a growing evidence base for its use, implementation in practical settings remains… (more)

Subjects/Keywords: Multiple imputation; missing data; missing at random; clinical trials

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sullivan, T. R. (2017). Multiple Imputation for Handling Missing Outcome Data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/119248

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sullivan, Thomas Richard. “Multiple Imputation for Handling Missing Outcome Data.” 2017. Thesis, University of Adelaide. Accessed December 10, 2019. http://hdl.handle.net/2440/119248.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sullivan, Thomas Richard. “Multiple Imputation for Handling Missing Outcome Data.” 2017. Web. 10 Dec 2019.

Vancouver:

Sullivan TR. Multiple Imputation for Handling Missing Outcome Data. [Internet] [Thesis]. University of Adelaide; 2017. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/2440/119248.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sullivan TR. Multiple Imputation for Handling Missing Outcome Data. [Thesis]. University of Adelaide; 2017. Available from: http://hdl.handle.net/2440/119248

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Arizona State University

23. Mistler, Stephen Andrew. Multilevel multiple imputation: An examination of competing methods.

Degree: Psychology, 2015, Arizona State University

 Missing data are common in psychology research and can lead to bias and reduced power if not properly handled. Multiple imputation is a state-of-the-art missing… (more)

Subjects/Keywords: Statistics; Psychology; Hierarchical; Missing Data; Multilevel Modeling; Multiple Imputation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mistler, S. A. (2015). Multilevel multiple imputation: An examination of competing methods. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/29655

Chicago Manual of Style (16th Edition):

Mistler, Stephen Andrew. “Multilevel multiple imputation: An examination of competing methods.” 2015. Doctoral Dissertation, Arizona State University. Accessed December 10, 2019. http://repository.asu.edu/items/29655.

MLA Handbook (7th Edition):

Mistler, Stephen Andrew. “Multilevel multiple imputation: An examination of competing methods.” 2015. Web. 10 Dec 2019.

Vancouver:

Mistler SA. Multilevel multiple imputation: An examination of competing methods. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2019 Dec 10]. Available from: http://repository.asu.edu/items/29655.

Council of Science Editors:

Mistler SA. Multilevel multiple imputation: An examination of competing methods. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29655


University of Michigan

24. Beesley, Lauren. Missing Data and Variable Selection Methods for Cure Models in Cancer Research.

Degree: PhD, Biostatistics, 2018, University of Michigan

 In survival analysis, a common assumption is that all subjects will eventually experience the event of interest given long enough follow-up time. However, there are… (more)

Subjects/Keywords: cure models; multiple imputation; cancer modeling; Public Health; Health Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Beesley, L. (2018). Missing Data and Variable Selection Methods for Cure Models in Cancer Research. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144010

Chicago Manual of Style (16th Edition):

Beesley, Lauren. “Missing Data and Variable Selection Methods for Cure Models in Cancer Research.” 2018. Doctoral Dissertation, University of Michigan. Accessed December 10, 2019. http://hdl.handle.net/2027.42/144010.

MLA Handbook (7th Edition):

Beesley, Lauren. “Missing Data and Variable Selection Methods for Cure Models in Cancer Research.” 2018. Web. 10 Dec 2019.

Vancouver:

Beesley L. Missing Data and Variable Selection Methods for Cure Models in Cancer Research. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/2027.42/144010.

Council of Science Editors:

Beesley L. Missing Data and Variable Selection Methods for Cure Models in Cancer Research. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144010

25. Imbert, Alyssa. Intégration de données hétérogènes complexes à partir de tableaux de tailles déséquilibrées : Integrating heterogeneous complex data from unbalanced datasets.

Degree: Docteur es, Mathématiques appliquées, 2018, Université Toulouse I – Capitole

Les avancées des nouvelles technologies de séquençage ont permis aux études cliniques de produire des données volumineuses et complexes. Cette complexité se décline selon diverses… (more)

Subjects/Keywords: Analyse de données transcriptomiques; Imputation multiple hot-deck

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APA (6th Edition):

Imbert, A. (2018). Intégration de données hétérogènes complexes à partir de tableaux de tailles déséquilibrées : Integrating heterogeneous complex data from unbalanced datasets. (Doctoral Dissertation). Université Toulouse I – Capitole. Retrieved from http://www.theses.fr/2018TOU10022

Chicago Manual of Style (16th Edition):

Imbert, Alyssa. “Intégration de données hétérogènes complexes à partir de tableaux de tailles déséquilibrées : Integrating heterogeneous complex data from unbalanced datasets.” 2018. Doctoral Dissertation, Université Toulouse I – Capitole. Accessed December 10, 2019. http://www.theses.fr/2018TOU10022.

MLA Handbook (7th Edition):

Imbert, Alyssa. “Intégration de données hétérogènes complexes à partir de tableaux de tailles déséquilibrées : Integrating heterogeneous complex data from unbalanced datasets.” 2018. Web. 10 Dec 2019.

Vancouver:

Imbert A. Intégration de données hétérogènes complexes à partir de tableaux de tailles déséquilibrées : Integrating heterogeneous complex data from unbalanced datasets. [Internet] [Doctoral dissertation]. Université Toulouse I – Capitole; 2018. [cited 2019 Dec 10]. Available from: http://www.theses.fr/2018TOU10022.

Council of Science Editors:

Imbert A. Intégration de données hétérogènes complexes à partir de tableaux de tailles déséquilibrées : Integrating heterogeneous complex data from unbalanced datasets. [Doctoral Dissertation]. Université Toulouse I – Capitole; 2018. Available from: http://www.theses.fr/2018TOU10022


University of Arizona

26. Zhou, Muhan. A Nearest-Neighbor Nonparametric Multiple Imputation Approach for Incomplete Categorical Data under Missing at Random .

Degree: 2019, University of Arizona

 Incomplete categorical data is a common problem in medical research. If researchers simply use complete cases for data analysis, the estimation might be biased and/or… (more)

Subjects/Keywords: Categorical data; Double Robustness; Missing data; Multiple imputation; Nearest Neighbor

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APA (6th Edition):

Zhou, M. (2019). A Nearest-Neighbor Nonparametric Multiple Imputation Approach for Incomplete Categorical Data under Missing at Random . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/634211

Chicago Manual of Style (16th Edition):

Zhou, Muhan. “A Nearest-Neighbor Nonparametric Multiple Imputation Approach for Incomplete Categorical Data under Missing at Random .” 2019. Doctoral Dissertation, University of Arizona. Accessed December 10, 2019. http://hdl.handle.net/10150/634211.

MLA Handbook (7th Edition):

Zhou, Muhan. “A Nearest-Neighbor Nonparametric Multiple Imputation Approach for Incomplete Categorical Data under Missing at Random .” 2019. Web. 10 Dec 2019.

Vancouver:

Zhou M. A Nearest-Neighbor Nonparametric Multiple Imputation Approach for Incomplete Categorical Data under Missing at Random . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10150/634211.

Council of Science Editors:

Zhou M. A Nearest-Neighbor Nonparametric Multiple Imputation Approach for Incomplete Categorical Data under Missing at Random . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634211


Duke University

27. Si, Yajuan. Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies .

Degree: 2012, Duke University

  The thesis develops nonparametric Bayesian models to handle incomplete categorical variables in data sets with high dimension using the framework of multiple imputation. It… (more)

Subjects/Keywords: Statistics; Categorical; Large scale; Multiple imputation; Nonparametric Bayes; Panel; Refreshment sample

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APA (6th Edition):

Si, Y. (2012). Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/5837

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Si, Yajuan. “Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies .” 2012. Thesis, Duke University. Accessed December 10, 2019. http://hdl.handle.net/10161/5837.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Si, Yajuan. “Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies .” 2012. Web. 10 Dec 2019.

Vancouver:

Si Y. Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies . [Internet] [Thesis]. Duke University; 2012. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10161/5837.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Si Y. Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies . [Thesis]. Duke University; 2012. Available from: http://hdl.handle.net/10161/5837

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Rio Grande do Sul

28. Nunes, Luciana Neves. Métodos de imputação de dados aplicados na área da saúde.

Degree: 2007, Universidade do Rio Grande do Sul

Em pesquisas da área da saúde é muito comum que o pesquisador defronte-se com o problema de dados faltantes. Nessa situação, é freqüente que a… (more)

Subjects/Keywords: Imputation methods; Interpretacao estatística de dados; Epidemiologia; Multiple imputation; Estatísticas de saúde; Missing data; Epidemiologia : Estatistica; Nonresponse; Imputação múltipla

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nunes, L. N. (2007). Métodos de imputação de dados aplicados na área da saúde. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/11422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nunes, Luciana Neves. “Métodos de imputação de dados aplicados na área da saúde.” 2007. Thesis, Universidade do Rio Grande do Sul. Accessed December 10, 2019. http://hdl.handle.net/10183/11422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nunes, Luciana Neves. “Métodos de imputação de dados aplicados na área da saúde.” 2007. Web. 10 Dec 2019.

Vancouver:

Nunes LN. Métodos de imputação de dados aplicados na área da saúde. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2007. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10183/11422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nunes LN. Métodos de imputação de dados aplicados na área da saúde. [Thesis]. Universidade do Rio Grande do Sul; 2007. Available from: http://hdl.handle.net/10183/11422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

29. Rockhill, Aimee Pauline. Imputation of Missing Observations in Forest Inventories.

Degree: MS, Forestry, 2008, North Carolina State University

Subjects/Keywords: mean imputation; Bayesian multiple imputation; multiple imputation; imputation techniques; ice storm; loblolly pine; volume loss; case deletion

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APA (6th Edition):

Rockhill, A. P. (2008). Imputation of Missing Observations in Forest Inventories. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/2887

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rockhill, Aimee Pauline. “Imputation of Missing Observations in Forest Inventories.” 2008. Thesis, North Carolina State University. Accessed December 10, 2019. http://www.lib.ncsu.edu/resolver/1840.16/2887.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rockhill, Aimee Pauline. “Imputation of Missing Observations in Forest Inventories.” 2008. Web. 10 Dec 2019.

Vancouver:

Rockhill AP. Imputation of Missing Observations in Forest Inventories. [Internet] [Thesis]. North Carolina State University; 2008. [cited 2019 Dec 10]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2887.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rockhill AP. Imputation of Missing Observations in Forest Inventories. [Thesis]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2887

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Giaconi Smoje, Valentina. Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile.

Degree: Docteur es, Sciences de l'Education, 2016, Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas

 Cette thèse de doctorat est consacrée à la modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili.… (more)

Subjects/Keywords: Modèles multiniveaux; Appariement des scores de propension; Imputation multiple; Disciplines scientifiques; Effets-Écoles; Trajectoires des élèves; Multilevel modeling; Propensity score matching; Multiple imputation; Science disciplines; School effects; Students' trajectories; 370

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Giaconi Smoje, V. (2016). Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile. (Doctoral Dissertation). Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas. Retrieved from http://www.theses.fr/2016GREAH040

Chicago Manual of Style (16th Edition):

Giaconi Smoje, Valentina. “Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile.” 2016. Doctoral Dissertation, Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas. Accessed December 10, 2019. http://www.theses.fr/2016GREAH040.

MLA Handbook (7th Edition):

Giaconi Smoje, Valentina. “Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile.” 2016. Web. 10 Dec 2019.

Vancouver:

Giaconi Smoje V. Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile. [Internet] [Doctoral dissertation]. Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas; 2016. [cited 2019 Dec 10]. Available from: http://www.theses.fr/2016GREAH040.

Council of Science Editors:

Giaconi Smoje V. Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile. [Doctoral Dissertation]. Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas; 2016. Available from: http://www.theses.fr/2016GREAH040

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