Ming-Hui Chen

20 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-1935-2447

Department of Statistics, University of Connecticut

Publications

• Flexible Bayesian spatial modeling for unknown missing data mechanism in survey analysis: An application to the Chinese general society survey — The Annals of Applied Statistics 2025
• A Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent Strains ofClostridium Perfringens — Journal of the American Statistical Association 2018
• Bayesian Inference for Multivariate Meta-Regression With a Partially Observed Within-Study Sample Covariance Matrix — Journal of the American Statistical Association 2015 (name-matched, not ORCID-linked)
• Diagnostic measures for the Cox regression model with missing covariates — Biometrika 2015 (name-matched, not ORCID-linked)
• Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study — Biometrika 2012 (name-matched, not ORCID-linked)
• A new latent cure rate marker model for survival data — The Annals of Applied Statistics 2009
• Flexible generalized t-link models for binary response data — Biometrika 2008 (name-matched, not ORCID-linked)
• Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models — Journal of the American Statistical Association 2008 (name-matched, not ORCID-linked)
• Posterior propriety and computation for the Cox regression model with applications to missing covariates — Biometrika 2006 (name-matched, not ORCID-linked)
• Missing-Data Methods for Generalized Linear Models — Journal of the American Statistical Association 2005 (name-matched, not ORCID-linked)
• Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random — Journal of the American Statistical Association 2004 (name-matched, not ORCID-linked)
• On Optimality Properties of the Power Prior — Journal of the American Statistical Association 2003 (name-matched, not ORCID-linked)
• Models for survival data from cancer prevention studies — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2002 (name-matched, not ORCID-linked)
• Bayesian Models for Gene Expression With DNA Microarray Data — Journal of the American Statistical Association 2002
• A New Bayesian Model for Survival Data with a Surviving Fraction — Journal of the American Statistical Association 1999 (name-matched, not ORCID-linked)
• A New Skewed Link Model for Dichotomous Quantal Response Data — Journal of the American Statistical Association 1999
• Monte Carlo methods for Bayesian analysis of constrained parameter problems — Biometrika 1998 (name-matched, not ORCID-linked)
• Using Historical Controls to Adjust for Covariates in Trend Tests for Binary Data — Journal of the American Statistical Association 1998 (name-matched, not ORCID-linked)
• On Monte Carlo methods for estimating ratios of normalizing constants — The Annals of Statistics 1997
• Importance-Weighted Marginal Bayesian Posterior Density Estimation — Journal of the American Statistical Association 1994