Bayesian analysis of transformation latent variable models with multivariate censored data

• Published in: Statistical methods in medical research Vol. 25; no. 5; p. 2337
• Main Authors: Song, Xin-Yuan, Pan, Deng, Liu, Peng-Fei, Cai, Jing-Heng
• Format: Journal Article
• Language: English
• Published: England 01.10.2016
• Subjects: Algorithms; Bayes Theorem; Cardiovascular Diseases; Diabetes Mellitus, Type 2; Female; Humans; Male; Markov Chains; Models, Statistical; Monte Carlo Method; Multivariate Analysis; semiparametric model; transformation model; latent variables; Markov chain Monte Carlo methods; Bayesian P-splines

Transformation latent variable models are proposed in this study to analyze multivariate censored data. The proposed models generalize conventional linear transformation models to semiparametric transformation models that accommodate latent variables. The characteristics of the latent variables were...