N. Thomas

发表

Hypothesis Testing and Bayesian Estimation using a Sigmoid E max Model Applied to Sparse Dose-Response Designs

N. Thomas, 2006, Journal of biopharmaceutical statistics.

The role of secondary covariates when estimating latent trait population distributions

N. Thomas, Neal Thomas, 2002 .

Assessing Model Sensitivity of the Imputation Methods Used in the National Assessment of Educational Progress

N. Thomas, Neal Thomas, 2000 .

Generating Multiple Imputations for Matrix Sampling Data Analyzed With Item Response Models

N. Thomas, Nianci Gan, Neal Thomas, 1997 .

Efficient Matrix Sampling Instruments for Correlated Latent Traits: Examples from the National Assessment of Educational Progress

L. Zeger, N. Thomas, Neal Thomas, 1997 .

Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates

D. Rubin, N. Thomas, Neal Thomas, 2000 .

An Evaluation of Matrix Sampling Methods Using Data from the National Health and Nutrition Examination Survey

T. Raghunathan, N. Schenker, M. Katzoff, 2006 .

Using Historical Data With Bayesian Methods in Early Clinical Trial Monitoring

Jonathan French, J. French, N. Thomas, 2012 .

Optimal Designs With Interim Analyses for Randomized Studies With Long-Term Time-Specific Endpoints

N. Thomas, Bo Huang, 2014 .

Optimal Two-Stage Phase II Designs with Long-Term Endpoints

Bo Huang, N. Thomas, Bo Huang, 2010 .

Analysis of Clinical Dose–Response in Small-Molecule Drug Development: 2009–2014

N. Thomas, D. Roy, 2017 .

Asymptotic Corrections for Multivariate Posterior Moments with Factored Likelihood Functions

N. Thomas, Neal Thomas, Neal Thomas, 1993 .

Meta-Analysis of Clinical Dose–Response in a Large Drug Development Portfolio

N. Thomas, Neal Thomas, K. Sweeney, 2014 .

Understanding MCP‐MOD dose finding as a method based on linear regression

N. Thomas, 2017, Statistics in medicine.

Month 2 Culture Status and Treatment Duration as Predictors of Tuberculosis Relapse Risk in a Meta-Regression Model

N. Thomas, R. Wallis, Cunshan Wang, 2013, PloS one.

Affinely Invariant Matching Methods with Ellipsoidal Distributions

Donald B. Rubin, D. Rubin, N. Thomas, 1992 .

Matching using estimated propensity scores: relating theory to practice.

D B Rubin, N Thomas, D. Rubin, 1996, Biometrics.

Analyzing clinical trial outcomes based on incomplete daily diary reports

Ofer Harel, Neal Thomas, Roderick J A Little, 2016, Statistics in medicine.

Estimating adjusted risk differences by multiply‐imputing missing control binary potential outcomes following propensity score‐matching

D. Rubin, P. Austin, N. Thomas, 2021, Statistics in medicine.

Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes

D. Rubin, P. Austin, N. Thomas, 2018, Statistical methods in medical research.

A case study of model‐based Bayesian dose response estimation

Jonathan French, Neal Thomas, Huaming Tan, 2011, Statistics in medicine.

Characterizing the effect of matching using linear propensity score methods with normal distributions

Donald B. Rubin, D. Rubin, N. Thomas, 1992 .

Simulation Modeling for Cost Estimation

Donald B. Rubin, Andrew Gelman, Richard P. Waterman, 2000 .

Covariate-Adjusted Difference in Proportions from Clinical Trials Using Logistic Regression and Weighted Risk Differences

R. D. Meyer, N. Thomas, W. Xie, 2011 .

Item Response Theory Models Applied to Data Allowing Examinee Choice

Eric T. Bradlow, N. Thomas, Neal Thomas, 1998 .