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Statistical Methods in Medical Research|February 12, 2015
Bayesian inference on mixed-effects varying-coefficient joint models with skew- t distribution for longitudinal data with multiple featuresTao Lu, Yangxin HuangBiometrical Journal. Biometrische Zeitschrift|July 12, 2007
Modeling the short-, middle- and long-term viral load responses for comparing estimated dynamic parametersYangxin HuangStatistics in Medicine|September 5, 2002
Robustness of choice of number of doses for maximum likelihood estimation of the ED(50) in bioassayYangxin HuangJournal of Applied Statistics|May 7, 2010
A Bayesian Approach in Differential Equation Dynamic Models Incorporating Clinical Factors and CovariatesYangxin HuangStatistics in Medicine|July 27, 2012
Segmental modeling of viral load changes for HIV longitudinal data with skewness and detection limitsYangxin HuangBiometrics|December 14, 2011
Bayesian semiparametric nonlinear mixed-effects joint models for data with skewness, missing responses, and measurement errors in covariatesYangxin Huang, Getachew DagneJournal of Biopharmaceutical Statistics|December 7, 2020
Bayesian joint modeling for partially linear mixed-effects quantile regression of longitudinal and time-to-event data with limit of detection, covariate measurement errors and skewnessHanze Zhang, Yangxin HuangStatistics in Medicine|March 14, 2014
Bayesian analysis of nonlinear mixed-effects mixture models for longitudinal data with heterogeneity and skewnessXiaosun Lu, Yangxin HuangThe International Journal of Biostatistics|September 21, 2012
Bayesian inference for a nonlinear mixed-effects Tobit model with multivariate skew-t distributions: application to AIDS studiesGetachew Dagne, Yangxin HuangCommunications in Statistics: Simulation and Computation|March 1, 2016
Mixed-Effects Models with Skewed Distributions for Time-Varying Decay Rate in HIV DynamicsRen Chen, Yangxin HuangPageof 163