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You searched for subject:(Data imputation). Showing records 1 – 30 of 172 total matches.

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Victoria University of Wellington

1. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Luo M. Imputation on the Food, Nutrition and Environment Surveys 2007 and 2009 data. [Internet] [Masters thesis]. Victoria University of Wellington; 2013. [cited 2020 Jan 22]. 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


Vilnius University

2. Utovkaitė, Jurgita. Praleistų duomenų įrašymo metodai baigtinių populiacijų statistikoje.

Degree: Master, 2009, Vilnius University

Netgi tobuliausiai suplanuotame tyrime atsiranda įvairių rūšių klaidų, dėl kurių gali būti gauti nepatikimi ar nepakankamai tikslūs tyrimo rezultatai, taigi labai svarbu kiek įmanoma labiau… (more)

Subjects/Keywords: Įrašymas; Imputation; Missing data

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APA (6th Edition):

Utovkaitė, Jurgita. (2009). Praleistų duomenų įrašymo metodai baigtinių populiacijų statistikoje. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184028-21319 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Utovkaitė, Jurgita. “Praleistų duomenų įrašymo metodai baigtinių populiacijų statistikoje.” 2009. Masters Thesis, Vilnius University. Accessed January 22, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184028-21319 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Utovkaitė, Jurgita. “Praleistų duomenų įrašymo metodai baigtinių populiacijų statistikoje.” 2009. Web. 22 Jan 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Utovkaitė, Jurgita. Praleistų duomenų įrašymo metodai baigtinių populiacijų statistikoje. [Internet] [Masters thesis]. Vilnius University; 2009. [cited 2020 Jan 22]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184028-21319 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Utovkaitė, Jurgita. Praleistų duomenų įrašymo metodai baigtinių populiacijų statistikoje. [Masters Thesis]. Vilnius University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184028-21319 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Karangwa I. Imputation techniques for non-ordered categorical missing data . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2020 Jan 22]. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Brydon HC. Missing imputation methods explored in big data analytics . [Internet] [Thesis]. University of the Western Cape; 2018. [cited 2020 Jan 22]. 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


University of Notre Dame

5. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Luningham JM. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2020 Jan 22]. 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


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

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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


McMaster University

7. Liu, Kai. Statistical Analysis of Longitudinal Data with a Case Study.

Degree: MSc, 2015, McMaster University

Preterm birth is the leading cause of neonatal mortality and long-term morbidity. Neonatologists can adjust nutrition to preterm neonates to control their weight gain so… (more)

Subjects/Keywords: preterm birth; longitudinal data; imputation; statistical analysis

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APA (6th Edition):

Liu, K. (2015). Statistical Analysis of Longitudinal Data with a Case Study. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/16614

Chicago Manual of Style (16th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Masters Thesis, McMaster University. Accessed January 22, 2020. http://hdl.handle.net/11375/16614.

MLA Handbook (7th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Web. 22 Jan 2020.

Vancouver:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/11375/16614.

Council of Science Editors:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/16614


University of Cincinnati

8. Peng, Zhimin. The Role of Missing Data Imputation in Clinical Studies.

Degree: MS, Medicine: Biostatistics (Environmental Health), 2018, University of Cincinnati

 Missing data is a common problem in clinical study. Removing missing data with complete case analysis (CCA) could lower power and bias the statistical conclusion.… (more)

Subjects/Keywords: Biostatistics; missing data; imputation; Clinical Studies

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APA (6th Edition):

Peng, Z. (2018). The Role of Missing Data Imputation in Clinical Studies. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222

Chicago Manual of Style (16th Edition):

Peng, Zhimin. “The Role of Missing Data Imputation in Clinical Studies.” 2018. Masters Thesis, University of Cincinnati. Accessed January 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222.

MLA Handbook (7th Edition):

Peng, Zhimin. “The Role of Missing Data Imputation in Clinical Studies.” 2018. Web. 22 Jan 2020.

Vancouver:

Peng Z. The Role of Missing Data Imputation in Clinical Studies. [Internet] [Masters thesis]. University of Cincinnati; 2018. [cited 2020 Jan 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222.

Council of Science Editors:

Peng Z. The Role of Missing Data Imputation in Clinical Studies. [Masters Thesis]. University of Cincinnati; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222


University of Toronto

9. Rudra, Malvika. Application of Imputation Methods in the Analysis of Freight Trip Generation in the Greater Toronto and Hamilton Area.

Degree: 2014, University of Toronto

Missing data is a common issue in empirical research, especially in complex surveys involving a large number of respondents. In 2012-13, a shipper-based, establishment survey… (more)

Subjects/Keywords: freight trip generation; imputation; missing data; 0543

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APA (6th Edition):

Rudra, M. (2014). Application of Imputation Methods in the Analysis of Freight Trip Generation in the Greater Toronto and Hamilton Area. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/68004

Chicago Manual of Style (16th Edition):

Rudra, Malvika. “Application of Imputation Methods in the Analysis of Freight Trip Generation in the Greater Toronto and Hamilton Area.” 2014. Masters Thesis, University of Toronto. Accessed January 22, 2020. http://hdl.handle.net/1807/68004.

MLA Handbook (7th Edition):

Rudra, Malvika. “Application of Imputation Methods in the Analysis of Freight Trip Generation in the Greater Toronto and Hamilton Area.” 2014. Web. 22 Jan 2020.

Vancouver:

Rudra M. Application of Imputation Methods in the Analysis of Freight Trip Generation in the Greater Toronto and Hamilton Area. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1807/68004.

Council of Science Editors:

Rudra M. Application of Imputation Methods in the Analysis of Freight Trip Generation in the Greater Toronto and Hamilton Area. [Masters Thesis]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68004

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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Magalhães IBd. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2020 Jan 22]. 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/ ;


George Mason University

11. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Cheema J. Handling Missing Data in Educational Research Using SPSS . [Internet] [Thesis]. George Mason University; 2012. [cited 2020 Jan 22]. 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


University of Minnesota

12. 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 (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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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 Arizona

13. 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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


University of Waterloo

14. She, Xichen. Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations.

Degree: 2017, University of Waterloo

 This thesis addresses two essential aspects of large scale public-use data files involving ordinal and mixed-type responses with missing observations: (i) the creation of single… (more)

Subjects/Keywords: public-use data; missing data; fractional imputation; ordinal responses; double robustness

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APA (6th Edition):

She, X. (2017). Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11170

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):

She, Xichen. “Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations.” 2017. Thesis, University of Waterloo. Accessed January 22, 2020. http://hdl.handle.net/10012/11170.

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

MLA Handbook (7th Edition):

She, Xichen. “Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations.” 2017. Web. 22 Jan 2020.

Vancouver:

She X. Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10012/11170.

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

Council of Science Editors:

She X. Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/11170

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


The Ohio State University

15. Kline, David. Systematically Missing Subject-Level Data in Longitudinal Research Synthesis.

Degree: PhD, Biostatistics, 2015, The Ohio State University

 When conducting research synthesis, the collection of studies that will be combined often do not measure the same set of variables, which creates missing data.… (more)

Subjects/Keywords: Biostatistics; Statistics; multiple imputation; research synthesis; longitudinal data; missing data; individual patient data

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APA (6th Edition):

Kline, D. (2015). Systematically Missing Subject-Level Data in Longitudinal Research Synthesis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440067809

Chicago Manual of Style (16th Edition):

Kline, David. “Systematically Missing Subject-Level Data in Longitudinal Research Synthesis.” 2015. Doctoral Dissertation, The Ohio State University. Accessed January 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440067809.

MLA Handbook (7th Edition):

Kline, David. “Systematically Missing Subject-Level Data in Longitudinal Research Synthesis.” 2015. Web. 22 Jan 2020.

Vancouver:

Kline D. Systematically Missing Subject-Level Data in Longitudinal Research Synthesis. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Jan 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440067809.

Council of Science Editors:

Kline D. Systematically Missing Subject-Level Data in Longitudinal Research Synthesis. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440067809


Duke University

16. Paiva, Thais Viana. Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies .

Degree: 2014, Duke University

  This thesis presents methods for multiple imputation that can be applied to missing data and data with confidential variables. Imputation is useful for missing… (more)

Subjects/Keywords: Statistics; Confidential data; Missing data; Multiple Imputation; Nonignorable missingness; Spatial model; Synthetic data

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

APA (6th Edition):

Paiva, T. V. (2014). Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9406

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):

Paiva, Thais Viana. “Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies .” 2014. Thesis, Duke University. Accessed January 22, 2020. http://hdl.handle.net/10161/9406.

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

MLA Handbook (7th Edition):

Paiva, Thais Viana. “Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies .” 2014. Web. 22 Jan 2020.

Vancouver:

Paiva TV. Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies . [Internet] [Thesis]. Duke University; 2014. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10161/9406.

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

Council of Science Editors:

Paiva TV. Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic Geographies . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/9406

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


University of Rochester

17. 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 January 22, 2020. http://hdl.handle.net/1802/31567.

MLA Handbook (7th Edition):

Hebert, Donald Joseph. “Global Tests for Multiple Outcomes in Randomized Trials.” 2016. Web. 22 Jan 2020.

Vancouver:

Hebert DJ. Global Tests for Multiple Outcomes in Randomized Trials. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2020 Jan 22]. 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


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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


McMaster University

19. Richard, Michael R. Determining the Size of a Galaxy's Globular Cluster Population through Imputation of Incomplete Data with Measurement Uncertainty.

Degree: MSc, 2015, McMaster University

A globular cluster is a collection of stars that orbits the center of its galaxy as a single satellite. Understanding what influences the formations of… (more)

Subjects/Keywords: Missing Data; Imputation; Predictive Mean Matching; Measurement Uncertainty; Globular Clusters

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

APA (6th Edition):

Richard, M. R. (2015). Determining the Size of a Galaxy's Globular Cluster Population through Imputation of Incomplete Data with Measurement Uncertainty. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18252

Chicago Manual of Style (16th Edition):

Richard, Michael R. “Determining the Size of a Galaxy's Globular Cluster Population through Imputation of Incomplete Data with Measurement Uncertainty.” 2015. Masters Thesis, McMaster University. Accessed January 22, 2020. http://hdl.handle.net/11375/18252.

MLA Handbook (7th Edition):

Richard, Michael R. “Determining the Size of a Galaxy's Globular Cluster Population through Imputation of Incomplete Data with Measurement Uncertainty.” 2015. Web. 22 Jan 2020.

Vancouver:

Richard MR. Determining the Size of a Galaxy's Globular Cluster Population through Imputation of Incomplete Data with Measurement Uncertainty. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/11375/18252.

Council of Science Editors:

Richard MR. Determining the Size of a Galaxy's Globular Cluster Population through Imputation of Incomplete Data with Measurement Uncertainty. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18252


Vilnius University

20. Binkytė, Kristina. Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime.

Degree: Master, 2009, Vilnius University

Šiame darbe išnagrinėjome kelis praleistų reikšmių įrašymo metodus, kuriuos taikėme išvykstamojo turizmo statistinio tyrimo 2.6. klausimo pirmiems dviem punktams: paslaugų paketo ir transporto išlaidoms. Įrašymo… (more)

Subjects/Keywords: Praleistos reikšmės; Įrašymo metodai; Missing data; Imputation methods

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

APA (6th Edition):

Binkytė, Kristina. (2009). Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194012-62333 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Binkytė, Kristina. “Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime.” 2009. Masters Thesis, Vilnius University. Accessed January 22, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194012-62333 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Binkytė, Kristina. “Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime.” 2009. Web. 22 Jan 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Binkytė, Kristina. Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime. [Internet] [Masters thesis]. Vilnius University; 2009. [cited 2020 Jan 22]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194012-62333 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Binkytė, Kristina. Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime. [Masters Thesis]. Vilnius University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194012-62333 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vilnius University

21. Šležaitė, Gintvilė. Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime.

Degree: Master, 2009, Vilnius University

Šiame darbe išnagrinėjome kelis praleistų reikšmių įrašymo metodus, kuriuos taikėme išvykstamojo turizmo statistinio tyrimo 2.6. klausimo pirmiems dviem punktams: paslaugų paketo ir transporto išlaidoms. Įrašymo… (more)

Subjects/Keywords: Praleistos reikšmės; Įrašymo metodai; Missing data; Imputation methods

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APA (6th Edition):

Šležaitė, Gintvilė. (2009). Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194013-17908 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Šležaitė, Gintvilė. “Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime.” 2009. Masters Thesis, Vilnius University. Accessed January 22, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194013-17908 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Šležaitė, Gintvilė. “Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime.” 2009. Web. 22 Jan 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Šležaitė, Gintvilė. Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime. [Internet] [Masters thesis]. Vilnius University; 2009. [cited 2020 Jan 22]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194013-17908 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Šležaitė, Gintvilė. Praleistų reikšmių įrašymo metodų efektyvumas turizmo tyrime. [Masters Thesis]. Vilnius University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194013-17908 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vanderbilt University

22. Mercaldo, Sarah Fletcher. On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data.

Degree: PhD, Biostatistics, 2017, Vanderbilt University

 This dissertation consists of three papers related to missing data, prediction, and large scale inference. The first paper defines the problem of obtaining predictions from… (more)

Subjects/Keywords: missing data; imputation; prediction models; large-scale inference; p-values

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

APA (6th Edition):

Mercaldo, S. F. (2017). On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09062017-101455/ ;

Chicago Manual of Style (16th Edition):

Mercaldo, Sarah Fletcher. “On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed January 22, 2020. http://etd.library.vanderbilt.edu/available/etd-09062017-101455/ ;.

MLA Handbook (7th Edition):

Mercaldo, Sarah Fletcher. “On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data.” 2017. Web. 22 Jan 2020.

Vancouver:

Mercaldo SF. On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2020 Jan 22]. Available from: http://etd.library.vanderbilt.edu/available/etd-09062017-101455/ ;.

Council of Science Editors:

Mercaldo SF. On Optimal Prediction Rules With Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-09062017-101455/ ;


University of Adelaide

23. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Sullivan TR. Multiple Imputation for Handling Missing Outcome Data. [Internet] [Thesis]. University of Adelaide; 2017. [cited 2020 Jan 22]. 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

24. 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 (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 January 22, 2020. http://repository.asu.edu/items/29655.

MLA Handbook (7th Edition):

Mistler, Stephen Andrew. “Multilevel multiple imputation: An examination of competing methods.” 2015. Web. 22 Jan 2020.

Vancouver:

Mistler SA. Multilevel multiple imputation: An examination of competing methods. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2020 Jan 22]. 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


Iowa State University

25. Zhu, Weicheng. Topics in sparse functional data analysis.

Degree: 2018, Iowa State University

 This dissertation consists of three research papers that address different problems in modeling sparse functional data. The first paper (Chapter 2) focuses on the statistical… (more)

Subjects/Keywords: HMRI; image imputation; R; sparse functional data; STFIT; Statistics and Probability

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APA (6th Edition):

Zhu, W. (2018). Topics in sparse functional data analysis. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17378

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):

Zhu, Weicheng. “Topics in sparse functional data analysis.” 2018. Thesis, Iowa State University. Accessed January 22, 2020. https://lib.dr.iastate.edu/etd/17378.

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

MLA Handbook (7th Edition):

Zhu, Weicheng. “Topics in sparse functional data analysis.” 2018. Web. 22 Jan 2020.

Vancouver:

Zhu W. Topics in sparse functional data analysis. [Internet] [Thesis]. Iowa State University; 2018. [cited 2020 Jan 22]. Available from: https://lib.dr.iastate.edu/etd/17378.

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

Council of Science Editors:

Zhu W. Topics in sparse functional data analysis. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/17378

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

26. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Nunes LN. Métodos de imputação de dados aplicados na área da saúde. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2007. [cited 2020 Jan 22]. 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

27. Skjäl, Henric. Innovationer och dess inverkan av Humankapital, Handel och FoU : Till vilken grad påverkas innovationer i EU av Humankapital, Handel med IKT och FoU?.

Degree: Economics, 2019, Södertörn University

This thesis analyzes what effects human capital, R&D and ICT-goods trade have on innovation. Positive outcomes from innovation are an increased level of productivity,… (more)

Subjects/Keywords: Innovation; human capital; R&D; ICT; imputation; panel data; European Union; Innovation; humankapital; FoU; IKT; imputation; paneldata; EU; Economics; Nationalekonomi

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APA (6th Edition):

Skjäl, H. (2019). Innovationer och dess inverkan av Humankapital, Handel och FoU : Till vilken grad påverkas innovationer i EU av Humankapital, Handel med IKT och FoU?. (Thesis). Södertörn University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-39204

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):

Skjäl, Henric. “Innovationer och dess inverkan av Humankapital, Handel och FoU : Till vilken grad påverkas innovationer i EU av Humankapital, Handel med IKT och FoU?.” 2019. Thesis, Södertörn University. Accessed January 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-39204.

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

MLA Handbook (7th Edition):

Skjäl, Henric. “Innovationer och dess inverkan av Humankapital, Handel och FoU : Till vilken grad påverkas innovationer i EU av Humankapital, Handel med IKT och FoU?.” 2019. Web. 22 Jan 2020.

Vancouver:

Skjäl H. Innovationer och dess inverkan av Humankapital, Handel och FoU : Till vilken grad påverkas innovationer i EU av Humankapital, Handel med IKT och FoU?. [Internet] [Thesis]. Södertörn University; 2019. [cited 2020 Jan 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-39204.

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

Council of Science Editors:

Skjäl H. Innovationer och dess inverkan av Humankapital, Handel och FoU : Till vilken grad påverkas innovationer i EU av Humankapital, Handel med IKT och FoU?. [Thesis]. Södertörn University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-39204

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


University of Bradford

28. Mohd Jamil, J. B. Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods.

Degree: PhD, 2012, University of Bradford

 Despite considerable advances in missing data imputation methods over the last three decades, the problem of missing data remains largely unsolved. Many techniques have emerged… (more)

Subjects/Keywords: 658; Missing data; Partial least squares; Structural equation modelling; Neural networks; Imputation methods; Incomplete data

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

APA (6th Edition):

Mohd Jamil, J. B. (2012). Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5728

Chicago Manual of Style (16th Edition):

Mohd Jamil, J B. “Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods.” 2012. Doctoral Dissertation, University of Bradford. Accessed January 22, 2020. http://hdl.handle.net/10454/5728.

MLA Handbook (7th Edition):

Mohd Jamil, J B. “Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods.” 2012. Web. 22 Jan 2020.

Vancouver:

Mohd Jamil JB. Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods. [Internet] [Doctoral dissertation]. University of Bradford; 2012. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10454/5728.

Council of Science Editors:

Mohd Jamil JB. Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods. [Doctoral Dissertation]. University of Bradford; 2012. Available from: http://hdl.handle.net/10454/5728


Ohio University

29. Parsons, Michael M. Planned Missing Data Designs in Communication Research.

Degree: PhD, Communication Studies (Communication), 2013, Ohio University

 Prominent among the many methodological challenges communication research faces are the relative lack of longitudinal research conducted in the discipline and the threats to validity… (more)

Subjects/Keywords: Communication; missing data; planned missing data; longitudinal; multiple imputation; communication; communication research

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APA (6th Edition):

Parsons, M. M. (2013). Planned Missing Data Designs in Communication Research. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1376579676

Chicago Manual of Style (16th Edition):

Parsons, Michael M. “Planned Missing Data Designs in Communication Research.” 2013. Doctoral Dissertation, Ohio University. Accessed January 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1376579676.

MLA Handbook (7th Edition):

Parsons, Michael M. “Planned Missing Data Designs in Communication Research.” 2013. Web. 22 Jan 2020.

Vancouver:

Parsons MM. Planned Missing Data Designs in Communication Research. [Internet] [Doctoral dissertation]. Ohio University; 2013. [cited 2020 Jan 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1376579676.

Council of Science Editors:

Parsons MM. Planned Missing Data Designs in Communication Research. [Doctoral Dissertation]. Ohio University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1376579676


Ohio University

30. Hening, Dyah A. Missing Data Imputation Method Comparison in Ohio University Student Retention Database.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2009, Ohio University

 Ohio University has been conducting research on first-year-student retention to prevent dropouts (OU Office of Institutional Research, First-Year Students Retention, 2008). Yet, the data sets… (more)

Subjects/Keywords: Higher Education; Industrial Engineering; Data Imputation; Missing data; MNAR; MCAR; MAR; student retention

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

APA (6th Edition):

Hening, D. A. (2009). Missing Data Imputation Method Comparison in Ohio University Student Retention Database. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596

Chicago Manual of Style (16th Edition):

Hening, Dyah A. “Missing Data Imputation Method Comparison in Ohio University Student Retention Database.” 2009. Masters Thesis, Ohio University. Accessed January 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596.

MLA Handbook (7th Edition):

Hening, Dyah A. “Missing Data Imputation Method Comparison in Ohio University Student Retention Database.” 2009. Web. 22 Jan 2020.

Vancouver:

Hening DA. Missing Data Imputation Method Comparison in Ohio University Student Retention Database. [Internet] [Masters thesis]. Ohio University; 2009. [cited 2020 Jan 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596.

Council of Science Editors:

Hening DA. Missing Data Imputation Method Comparison in Ohio University Student Retention Database. [Masters Thesis]. Ohio University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596

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