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You searched for subject:(imputation). Showing records 1 – 30 of 375 total matches.

[1] [2] [3] [4] [5] … [13]

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University of Georgia

1. Toghiani, Sajjad. Multi-generational imputation of SNP marker genotypes and accuracy of genomic selection.

Degree: MS, Animal Science, 2014, University of Georgia

 Recent Advances in DNA sequencing technologies and the increased availability of high density single nucleotide polymorphism (SNP) genotyping platforms provided unprecedented opportunities to enhance breeding… (more)

Subjects/Keywords: SNP genotype imputation

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

APA (6th Edition):

Toghiani, S. (2014). Multi-generational imputation of SNP marker genotypes and accuracy of genomic selection. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/toghiani_sajjad_201412_ms

Chicago Manual of Style (16th Edition):

Toghiani, Sajjad. “Multi-generational imputation of SNP marker genotypes and accuracy of genomic selection.” 2014. Masters Thesis, University of Georgia. Accessed November 19, 2019. http://purl.galileo.usg.edu/uga_etd/toghiani_sajjad_201412_ms.

MLA Handbook (7th Edition):

Toghiani, Sajjad. “Multi-generational imputation of SNP marker genotypes and accuracy of genomic selection.” 2014. Web. 19 Nov 2019.

Vancouver:

Toghiani S. Multi-generational imputation of SNP marker genotypes and accuracy of genomic selection. [Internet] [Masters thesis]. University of Georgia; 2014. [cited 2019 Nov 19]. Available from: http://purl.galileo.usg.edu/uga_etd/toghiani_sajjad_201412_ms.

Council of Science Editors:

Toghiani S. Multi-generational imputation of SNP marker genotypes and accuracy of genomic selection. [Masters Thesis]. University of Georgia; 2014. Available from: http://purl.galileo.usg.edu/uga_etd/toghiani_sajjad_201412_ms


University of the Western Cape

2. 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 November 19, 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. 19 Nov 2019.

Vancouver:

Karangwa I. Imputation techniques for non-ordered categorical missing data . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2019 Nov 19]. 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 Georgia

3. 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 November 19, 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. 19 Nov 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 Nov 19]. 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


Robert Gordon University

4. Nana, Constantine Ntsanyu. Corporate criminal liability in the United Kingdom : determining the appropriate mechanism of imputation.

Degree: PhD, 2009, Robert Gordon University

 The objectives of this thesis are twofold: firstly, demonstrate that the string of contradictions stretching across substantive and procedural corporate criminal law may be avoided… (more)

Subjects/Keywords: 340; Corporate criminal law; Imputation

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APA (6th Edition):

Nana, C. N. (2009). Corporate criminal liability in the United Kingdom : determining the appropriate mechanism of imputation. (Doctoral Dissertation). Robert Gordon University. Retrieved from http://hdl.handle.net/10059/466

Chicago Manual of Style (16th Edition):

Nana, Constantine Ntsanyu. “Corporate criminal liability in the United Kingdom : determining the appropriate mechanism of imputation.” 2009. Doctoral Dissertation, Robert Gordon University. Accessed November 19, 2019. http://hdl.handle.net/10059/466.

MLA Handbook (7th Edition):

Nana, Constantine Ntsanyu. “Corporate criminal liability in the United Kingdom : determining the appropriate mechanism of imputation.” 2009. Web. 19 Nov 2019.

Vancouver:

Nana CN. Corporate criminal liability in the United Kingdom : determining the appropriate mechanism of imputation. [Internet] [Doctoral dissertation]. Robert Gordon University; 2009. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/10059/466.

Council of Science Editors:

Nana CN. Corporate criminal liability in the United Kingdom : determining the appropriate mechanism of imputation. [Doctoral Dissertation]. Robert Gordon University; 2009. Available from: http://hdl.handle.net/10059/466


Victoria University of Wellington

5. 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 November 19, 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. 19 Nov 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 Nov 19]. 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

6. 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 November 19, 2019. 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. 19 Nov 2019.

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 2019 Nov 19]. 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 Wollongong

7. Lago, Luise Patricia. Imputation of household survey data using mixed models.

Degree: PhD, 2015, University of Wollongong

  Household surveys collect information about a household and data items relating to one or more people within the household. Developing an efficient strategy for… (more)

Subjects/Keywords: Imputation; mixed models; households; statistics

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APA (6th Edition):

Lago, L. P. (2015). Imputation of household survey data using mixed models. (Doctoral Dissertation). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/4369

Chicago Manual of Style (16th Edition):

Lago, Luise Patricia. “Imputation of household survey data using mixed models.” 2015. Doctoral Dissertation, University of Wollongong. Accessed November 19, 2019. ; https://ro.uow.edu.au/theses/4369.

MLA Handbook (7th Edition):

Lago, Luise Patricia. “Imputation of household survey data using mixed models.” 2015. Web. 19 Nov 2019.

Vancouver:

Lago LP. Imputation of household survey data using mixed models. [Internet] [Doctoral dissertation]. University of Wollongong; 2015. [cited 2019 Nov 19]. Available from: ; https://ro.uow.edu.au/theses/4369.

Council of Science Editors:

Lago LP. Imputation of household survey data using mixed models. [Doctoral Dissertation]. University of Wollongong; 2015. Available from: ; https://ro.uow.edu.au/theses/4369


University of Michigan

8. Das, Sayantan. Next Generation of Genotype Imputation Methods.

Degree: PhD, Biostatistics, 2017, University of Michigan

 In the past several years, we have witnessed numerous human genetic studies that have systematically evaluated the contribution of genetic polymorphisms to various complex diseases,… (more)

Subjects/Keywords: genotype imputation; Genetics; Science

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APA (6th Edition):

Das, S. (2017). Next Generation of Genotype Imputation Methods. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138466

Chicago Manual of Style (16th Edition):

Das, Sayantan. “Next Generation of Genotype Imputation Methods.” 2017. Doctoral Dissertation, University of Michigan. Accessed November 19, 2019. http://hdl.handle.net/2027.42/138466.

MLA Handbook (7th Edition):

Das, Sayantan. “Next Generation of Genotype Imputation Methods.” 2017. Web. 19 Nov 2019.

Vancouver:

Das S. Next Generation of Genotype Imputation Methods. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/2027.42/138466.

Council of Science Editors:

Das S. Next Generation of Genotype Imputation Methods. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138466


Université de Montréal

9. Nambeu, Christian O. Imputation en présence de données contenant des zéros .

Degree: 2011, Université de Montréal

 L’imputation simple est très souvent utilisée dans les enquêtes pour compenser pour la non-réponse partielle. Dans certaines situations, la variable nécessitant l’imputation prend des valeurs… (more)

Subjects/Keywords: Imputation par la régression; Imputation aléatoire; Imputation déterministe; Imputation aléatoire équilibrée; Non-réponse partielle; Jackknife; Estimation de la Variance; Regression imputation; Random imputation; Deterministic imputation; Balanced random imputation; Item nonresponse; Jackknife; Variance estimation

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APA (6th Edition):

Nambeu, C. O. (2011). Imputation en présence de données contenant des zéros . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/4724

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):

Nambeu, Christian O. “Imputation en présence de données contenant des zéros .” 2011. Thesis, Université de Montréal. Accessed November 19, 2019. http://hdl.handle.net/1866/4724.

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

MLA Handbook (7th Edition):

Nambeu, Christian O. “Imputation en présence de données contenant des zéros .” 2011. Web. 19 Nov 2019.

Vancouver:

Nambeu CO. Imputation en présence de données contenant des zéros . [Internet] [Thesis]. Université de Montréal; 2011. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/1866/4724.

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

Council of Science Editors:

Nambeu CO. Imputation en présence de données contenant des zéros . [Thesis]. Université de Montréal; 2011. Available from: http://hdl.handle.net/1866/4724

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


University of the Western Cape

10. 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 November 19, 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. 19 Nov 2019.

Vancouver:

Brydon HC. Missing imputation methods explored in big data analytics . [Internet] [Thesis]. University of the Western Cape; 2018. [cited 2019 Nov 19]. 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

11. Eskelson, Bianca N. I. Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data.

Degree: PhD, Forest Resources, 2008, Oregon State University

 The Forest Inventory and Analysis (FIA) program conducts an annual inventory throughout the United States. In the western United States, 10% of all plots (one… (more)

Subjects/Keywords: nearest neighbor imputation; Forest surveys  – Oregon  – Methodology

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APA (6th Edition):

Eskelson, B. N. I. (2008). Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/10021

Chicago Manual of Style (16th Edition):

Eskelson, Bianca N I. “Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data.” 2008. Doctoral Dissertation, Oregon State University. Accessed November 19, 2019. http://hdl.handle.net/1957/10021.

MLA Handbook (7th Edition):

Eskelson, Bianca N I. “Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data.” 2008. Web. 19 Nov 2019.

Vancouver:

Eskelson BNI. Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data. [Internet] [Doctoral dissertation]. Oregon State University; 2008. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/1957/10021.

Council of Science Editors:

Eskelson BNI. Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data. [Doctoral Dissertation]. Oregon State University; 2008. Available from: http://hdl.handle.net/1957/10021


Oregon State University

12. 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 November 19, 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. 19 Nov 2019.

Vancouver:

Amer SR. Neural network imputation : a new fashion or a good tool. [Internet] [Doctoral dissertation]. Oregon State University; 2004. [cited 2019 Nov 19]. 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

13. 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 November 19, 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. 19 Nov 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 Nov 19]. 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

14. 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 November 19, 2019. http://hdl.handle.net/11375/16614.

MLA Handbook (7th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Web. 19 Nov 2019.

Vancouver:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Nov 19]. 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 Miami

15. Tang, Fei. Random Forest Missing Data Approaches.

Degree: PhD, Biostatistics (Medicine), 2017, University of Miami

 Random forest (RF) missing data algorithms are an attractive approach for imputing missing data. They have the desirable properties of being able to handle mixed… (more)

Subjects/Keywords: Random Forest; Imputation; MESA data; Missing data

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APA (6th Edition):

Tang, F. (2017). Random Forest Missing Data Approaches. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1852

Chicago Manual of Style (16th Edition):

Tang, Fei. “Random Forest Missing Data Approaches.” 2017. Doctoral Dissertation, University of Miami. Accessed November 19, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/1852.

MLA Handbook (7th Edition):

Tang, Fei. “Random Forest Missing Data Approaches.” 2017. Web. 19 Nov 2019.

Vancouver:

Tang F. Random Forest Missing Data Approaches. [Internet] [Doctoral dissertation]. University of Miami; 2017. [cited 2019 Nov 19]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1852.

Council of Science Editors:

Tang F. Random Forest Missing Data Approaches. [Doctoral Dissertation]. University of Miami; 2017. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1852


University of Cincinnati

16. 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 November 19, 2019. 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. 19 Nov 2019.

Vancouver:

Peng Z. The Role of Missing Data Imputation in Clinical Studies. [Internet] [Masters thesis]. University of Cincinnati; 2018. [cited 2019 Nov 19]. 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


Wayne State University

17. 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 November 19, 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. 19 Nov 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 Nov 19]. 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


University of Toronto

18. 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 November 19, 2019. 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. 19 Nov 2019.

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 2019 Nov 19]. 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


Virginia Commonwealth University

19. Drake, John E, Jr. Evaluating PrediXcan’s Ability to Predict Differential Expression Between Alcoholics and Non-Alcoholics.

Degree: MS, Bioinformatics, 2019, Virginia Commonwealth University

  PrediXcan is a recent software for the imputation of gene expression from genotype data alone. Using an overlapping set of transcriptome datasets from postmortem… (more)

Subjects/Keywords: PrediXcan; bioinformatics; limma; alcoholism; imputation; Bioinformatics

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APA (6th Edition):

Drake, John E, J. (2019). Evaluating PrediXcan’s Ability to Predict Differential Expression Between Alcoholics and Non-Alcoholics. (Thesis). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/5797

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):

Drake, John E, Jr. “Evaluating PrediXcan’s Ability to Predict Differential Expression Between Alcoholics and Non-Alcoholics.” 2019. Thesis, Virginia Commonwealth University. Accessed November 19, 2019. https://scholarscompass.vcu.edu/etd/5797.

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

MLA Handbook (7th Edition):

Drake, John E, Jr. “Evaluating PrediXcan’s Ability to Predict Differential Expression Between Alcoholics and Non-Alcoholics.” 2019. Web. 19 Nov 2019.

Vancouver:

Drake, John E J. Evaluating PrediXcan’s Ability to Predict Differential Expression Between Alcoholics and Non-Alcoholics. [Internet] [Thesis]. Virginia Commonwealth University; 2019. [cited 2019 Nov 19]. Available from: https://scholarscompass.vcu.edu/etd/5797.

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

Council of Science Editors:

Drake, John E J. Evaluating PrediXcan’s Ability to Predict Differential Expression Between Alcoholics and Non-Alcoholics. [Thesis]. Virginia Commonwealth University; 2019. Available from: https://scholarscompass.vcu.edu/etd/5797

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


Rice University

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

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 November 19, 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. 19 Nov 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 Nov 19]. 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

21. 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 November 19, 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. 19 Nov 2019.

Vancouver:

Luningham JM. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2019 Nov 19]. 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


Queens University

22. Borgundvaag, Emily Marie. Imputing accelerometer non-wear time when assessing children's moderate-to-vigorous physical activity .

Degree: Community Health and Epidemiology, 2016, Queens University

 BACKGROUND: Moderate-to-vigorous physical activity (MVPA) is an important determinant of children’s physical health, and is commonly measured using accelerometers. A major limitation of accelerometers is… (more)

Subjects/Keywords: Non-Wear Time; Children; Accelerometer; Imputation

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APA (6th Edition):

Borgundvaag, E. M. (2016). Imputing accelerometer non-wear time when assessing children's moderate-to-vigorous physical activity . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14687

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):

Borgundvaag, Emily Marie. “Imputing accelerometer non-wear time when assessing children's moderate-to-vigorous physical activity .” 2016. Thesis, Queens University. Accessed November 19, 2019. http://hdl.handle.net/1974/14687.

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

MLA Handbook (7th Edition):

Borgundvaag, Emily Marie. “Imputing accelerometer non-wear time when assessing children's moderate-to-vigorous physical activity .” 2016. Web. 19 Nov 2019.

Vancouver:

Borgundvaag EM. Imputing accelerometer non-wear time when assessing children's moderate-to-vigorous physical activity . [Internet] [Thesis]. Queens University; 2016. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/1974/14687.

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

Council of Science Editors:

Borgundvaag EM. Imputing accelerometer non-wear time when assessing children's moderate-to-vigorous physical activity . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14687

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

23. 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 November 19, 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. 19 Nov 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 Nov 19]. 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

24. 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 November 19, 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. 19 Nov 2019.

Vancouver:

Siver SR. Methods for Handling Missing Data for Multiple-Item Questionnaires. [Internet] [Thesis]. East Carolina University; 2017. [cited 2019 Nov 19]. 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

25. 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 November 19, 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. 19 Nov 2019.

Vancouver:

Cheema J. Handling Missing Data in Educational Research Using SPSS . [Internet] [Thesis]. George Mason University; 2012. [cited 2019 Nov 19]. 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 Michigan

26. Kunji, Khalid. Efficient Pedigree-Based Imputation.

Degree: MS, Computer Science, 2018, University of Michigan

 When performing a Genome-Wide Association Study (GWAS), one attempts to associate a phenotype with some genomic information, commonly a gene or set of genes. Often… (more)

Subjects/Keywords: Genome Imputation Given Inheritance; Genome-Wide Association Study; Haplotype; Imputation; Pedigrees; Phasing; Biostatistics; Bioinformatics; Genetics

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APA (6th Edition):

Kunji, K. (2018). Efficient Pedigree-Based Imputation. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149464

Chicago Manual of Style (16th Edition):

Kunji, Khalid. “Efficient Pedigree-Based Imputation.” 2018. Masters Thesis, University of Michigan. Accessed November 19, 2019. http://hdl.handle.net/2027.42/149464.

MLA Handbook (7th Edition):

Kunji, Khalid. “Efficient Pedigree-Based Imputation.” 2018. Web. 19 Nov 2019.

Vancouver:

Kunji K. Efficient Pedigree-Based Imputation. [Internet] [Masters thesis]. University of Michigan; 2018. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/2027.42/149464.

Council of Science Editors:

Kunji K. Efficient Pedigree-Based Imputation. [Masters Thesis]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/149464


NSYSU

27. Wang, Zong-Siang. The Impacts of Imputation Tax System on Corporate Dividend Policyï¼An Empirical Study and Survey.

Degree: Master, Finance, 2003, NSYSU

none Advisors/Committee Members: none (committee member), none (chair), none (chair).

Subjects/Keywords: Dividend Policy; Imputation Tax System; Imputation Credit Ratio

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APA (6th Edition):

Wang, Z. (2003). The Impacts of Imputation Tax System on Corporate Dividend Policyï¼An Empirical Study and Survey. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611103-072009

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):

Wang, Zong-Siang. “The Impacts of Imputation Tax System on Corporate Dividend Policyï¼An Empirical Study and Survey.” 2003. Thesis, NSYSU. Accessed November 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611103-072009.

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

MLA Handbook (7th Edition):

Wang, Zong-Siang. “The Impacts of Imputation Tax System on Corporate Dividend Policyï¼An Empirical Study and Survey.” 2003. Web. 19 Nov 2019.

Vancouver:

Wang Z. The Impacts of Imputation Tax System on Corporate Dividend Policyï¼An Empirical Study and Survey. [Internet] [Thesis]. NSYSU; 2003. [cited 2019 Nov 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611103-072009.

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

Council of Science Editors:

Wang Z. The Impacts of Imputation Tax System on Corporate Dividend Policyï¼An Empirical Study and Survey. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0611103-072009

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 (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 November 19, 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. 19 Nov 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 Nov 19]. 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

29. Coulonges, Cédric. Analyses bioinformatiques dans le cadre de la génomique du SIDA : Bioinformatics analyses in the context of AIDS genomic.

Degree: Docteur es, Bioinformatique, 2011, Paris, CNAM

Les technologies actuelles permettent d’explorer le génome entier pour y découvrir des variants génétiques associés aux maladies. Cela implique des outils bioinformatiques adaptés à l’interface… (more)

Subjects/Keywords: Étude d'association; Vih-1; Snp; Haplotypes; Imputation; Méta-analyse; Gwas; Hiv-1; Snp; Haplotypes; Imputation; Meta-analysis

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APA (6th Edition):

Coulonges, C. (2011). Analyses bioinformatiques dans le cadre de la génomique du SIDA : Bioinformatics analyses in the context of AIDS genomic. (Doctoral Dissertation). Paris, CNAM. Retrieved from http://www.theses.fr/2011CNAM0787

Chicago Manual of Style (16th Edition):

Coulonges, Cédric. “Analyses bioinformatiques dans le cadre de la génomique du SIDA : Bioinformatics analyses in the context of AIDS genomic.” 2011. Doctoral Dissertation, Paris, CNAM. Accessed November 19, 2019. http://www.theses.fr/2011CNAM0787.

MLA Handbook (7th Edition):

Coulonges, Cédric. “Analyses bioinformatiques dans le cadre de la génomique du SIDA : Bioinformatics analyses in the context of AIDS genomic.” 2011. Web. 19 Nov 2019.

Vancouver:

Coulonges C. Analyses bioinformatiques dans le cadre de la génomique du SIDA : Bioinformatics analyses in the context of AIDS genomic. [Internet] [Doctoral dissertation]. Paris, CNAM; 2011. [cited 2019 Nov 19]. Available from: http://www.theses.fr/2011CNAM0787.

Council of Science Editors:

Coulonges C. Analyses bioinformatiques dans le cadre de la génomique du SIDA : Bioinformatics analyses in the context of AIDS genomic. [Doctoral Dissertation]. Paris, CNAM; 2011. Available from: http://www.theses.fr/2011CNAM0787


Université de Sherbrooke

30. 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 November 19, 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. 19 Nov 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 Nov 19]. 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

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