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30377.pdf (980.87 KB)
ETD Abstract Container
Abstract Header
The Role of Missing Data Imputation in Clinical Studies
Author Info
Peng, Zhimin
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222
Abstract Details
Year and Degree
2018, MS, University of Cincinnati, Medicine: Biostatistics (Environmental Health).
Abstract
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. A variety of approaches have been used to deal with missing data. Several basic imputation methods would be introduced in this study. With the datasets derived from Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) study, group mean imputation (Gmean), total mean imputation (Tmean), expectation-maximization (EM) Algorithm, Markov chain Monte Carlo (MCMC) and fully conditional specification (FCS) imputation methods will be compared. Mean absolute error (MAE), root mean squared error (RMSE), mean of parameter bias, standard error of parameter bias will be used as evaluation criteria. Our results suggest that FCS is the rigorous statistical procedure for rare event data with high missing rate and binary outcome, which deserves more application in practice.
Committee
Changchun Xie, Ph.D. (Committee Chair)
Todd Jenkins, Ph.D. (Committee Member)
Pages
49 p.
Subject Headings
Biostatistics
Keywords
missing data
;
imputation
;
Clinical Studies
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Citations
Peng, Z. (2018).
The Role of Missing Data Imputation in Clinical Studies
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222
APA Style (7th edition)
Peng, Zhimin.
The Role of Missing Data Imputation in Clinical Studies.
2018. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222.
MLA Style (8th edition)
Peng, Zhimin. "The Role of Missing Data Imputation in Clinical Studies." Master's thesis, University of Cincinnati, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535705430538222
Chicago Manual of Style (17th edition)
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Document number:
ucin1535705430538222
Download Count:
451
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.