STATE REGULATORY REFORM AND FEDERAL REGULATION
- 作者John T. Scholz
- 卷第1卷
- 期第2期
- 印刷ISSN1541-132X
- 电子ISSN1541-1338
- 文件大小706.93KB
- 发表时间1981
- DOI10.1111/j.1541-1338.1981.tb00417.x
- 页码347-359
Jointly modeling time-to-event and longitudinal data: a Bayesian approachHuang, Yangxin; Hu, X. Joan; Dagne, Getachew A. · Statistical Methods & Applications · 2014
Bayesian semiparametric mixture Tobit models with left censoring, skewness, and covariate measurement errorsDagne, Getachew A.; Huang, Yangxin · Statistics in Medicine · 2013
Mixture joint models for event time and longitudinal data with multiple featuresHuang, Yangxin; Dagne, Getachew A.; Park, Jeong-Gun · Statistics in Biopharmaceutical Research · 2016
Skew-normal Bayesian nonlinear mixed-effects models with application to AIDS studiesYangxin Huang; Getachew Dagne · 2010
Bayesian Two-Part Tobit Models with Left-Censoring, Skewness, and Nonignorable MissingnessDagne, Getachew A.; Huang, Yangxin · Journal of Biopharmaceutical Statistics · 2015
Segmental modeling of changing immunologic response for CD4 data with skewness, missingness and dropoutHuang, Yangxin; Dagne, Getachew A.; Park, Jeong-Gun · Journal of Applied Statistics · 2013
Mixed-Effects Tobit Joint Models for Longitudinal Data with Skewness, Detection Limits, and Measurement ErrorsDagne, Getachew A.; Huang, Yangxin · Journal of Probability and Statistics · 2012
Simultaneous Bayesian Inference for Skew-Normal Semiparametric Nonlinear Mixed-Effects Models with Covariate Measurement ErrorsHuang, Yangxin and; Dagne, Getachew A. · Bayesian Analysis · 2012