Bayesian analysis of nonlinear mixed-effects mixture models for longitudinal data with heterogeneity and skewness

Statistics in Medicine

Volumn 33, Issue 16, 2014, Pages 2830-2849

  Lu, Xiaosun ^a   Huang, Yangxin ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

AIDS clinical trials; Bayesian inference; Longitudinal data analysis; Nonlinear mixed effects mixture models; Skew distributions

Indexed keywords

ABACAVIR; ADEFOVIR DIPIVOXIL; AMPRENAVIR; EFAVIRENZ; INDINAVIR; NELFINAVIR; SAQUINAVIR;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; BAYES THEOREM; CD4 LYMPHOCYTE COUNT; DATA ANALYSIS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; NONLINEAR MIXED EFFECTS MIXTURE MODEL; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL DISTRIBUTION; STATISTICAL MODEL; VIRUS LOAD; CLINICAL TRIAL (TOPIC); HUMAN IMMUNODEFICIENCY VIRUS INFECTION; LONGITUDINAL STUDY; NONLINEAR SYSTEM; STATISTICAL BIAS; STATISTICS AND NUMERICAL DATA; TREATMENT OUTCOME;

BAYES THEOREM; BIAS (EPIDEMIOLOGY); CLINICAL TRIALS AS TOPIC; HIV INFECTIONS; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; NONLINEAR DYNAMICS; OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); VIRAL LOAD;

EID: 84901924035     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6136     Document Type: Article

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