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American Journal of Ophthalmology
|
November 26, 2009
Missing data: what a little can do, and what researchers can do in response
Thomas R Belin
Statistics in Medicine
|
September 3, 2004
Imputation for incomplete high-dimensional multivariate normal data using a common factor model
Juwon Song, Thomas R Belin
Computational Statistics & Data Analysis
|
December 18, 2009
Using an Approximate Bayesian Bootstrap to Multiply Impute Nonignorable Missing Data
Juned Siddique, Thomas R Belin
Statistics in Medicine
|
July 20, 2007
Multiple imputation using an iterative hot-deck with distance-based donor selection
Juned Siddique, Thomas R Belin
Biometrics
|
February 22, 2012
A Bayesian approach to improved estimation of causal effect predictiveness for a principal surrogate endpoint
Corwin M Zigler, Thomas R Belin
The Annals of Applied Statistics
|
February 7, 2012
THE POTENTIAL FOR BIAS IN PRINCIPAL CAUSAL EFFECT ESTIMATION WHEN TREATMENT RECEIVED DEPENDS ON A KEY COVARIATE
Corwin M Zigler, Thomas R Belin
Communications in Statistics. Case Studies, Data Analysis and Applications
|
April 3, 2026
Developing a propensity score protocol for evaluating the oral health consequences of methamphetamine use
Lauren Harrell, Thomas R Belin, Vivek Shetty
Journal of the American Dental Association (1939)
|
May 2, 2017
Mechanisms underlying methamphetamine-related dental disease
Jason Clague, Thomas R Belin, Vivek Shetty
Journal of Statistical Computation and Simulation
|
April 20, 2026
Modeling a mixture of ordinal and continuous repeated measures
W John Boscardin, Xiao Zhang, Thomas R Belin
Statistics in Medicine
|
January 30, 2015
Evaluating model-based imputation methods for missing covariates in regression models with interactions
Soeun Kim, Catherine A Sugar, Thomas R Belin
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of 10
Search research articles
Search
Showing results (1-10 of 92) with videos related to
Sort By:
Page
of 10
American Journal of Ophthalmology
|
November 26, 2009
Missing data: what a little can do, and what researchers can do in response
Thomas R Belin
Statistics in Medicine
|
September 3, 2004
Imputation for incomplete high-dimensional multivariate normal data using a common factor model
Juwon Song, Thomas R Belin
Computational Statistics & Data Analysis
|
December 18, 2009
Using an Approximate Bayesian Bootstrap to Multiply Impute Nonignorable Missing Data
Juned Siddique, Thomas R Belin
Statistics in Medicine
|
July 20, 2007
Multiple imputation using an iterative hot-deck with distance-based donor selection
Juned Siddique, Thomas R Belin
Biometrics
|
February 22, 2012
A Bayesian approach to improved estimation of causal effect predictiveness for a principal surrogate endpoint
Corwin M Zigler, Thomas R Belin
The Annals of Applied Statistics
|
February 7, 2012
THE POTENTIAL FOR BIAS IN PRINCIPAL CAUSAL EFFECT ESTIMATION WHEN TREATMENT RECEIVED DEPENDS ON A KEY COVARIATE
Corwin M Zigler, Thomas R Belin
Communications in Statistics. Case Studies, Data Analysis and Applications
|
April 3, 2026
Developing a propensity score protocol for evaluating the oral health consequences of methamphetamine use
Lauren Harrell, Thomas R Belin, Vivek Shetty
Journal of the American Dental Association (1939)
|
May 2, 2017
Mechanisms underlying methamphetamine-related dental disease
Jason Clague, Thomas R Belin, Vivek Shetty
Journal of Statistical Computation and Simulation
|
April 20, 2026
Modeling a mixture of ordinal and continuous repeated measures
W John Boscardin, Xiao Zhang, Thomas R Belin
Statistics in Medicine
|
January 30, 2015
Evaluating model-based imputation methods for missing covariates in regression models with interactions
Soeun Kim, Catherine A Sugar, Thomas R Belin
Page
of 10