Statistical advances in AIDS therapy trials.
This paper reviews recent statistical advances in HIV/AIDS therapy trials. Our emphasis is on three emerging areas that address key challenges in AIDS research: the determination of optimal treatment sequences, estimating efficacy of intended treatment, and inference for repeated measures with dependent censoring. A common theme of these topics is the use of observational data within clinical trials to answer questions not addressed by the conventional intent-to-treat analysis. We also give a brief overview of some recent contributions to other topics relevant to AIDS clinical trials, including modelling of treatment compliance data, modelling of repeated measures, and group sequential testing.
Albert
J M
JM
Department of Epidemiology and Biostatistics, School of Medicine BRB-G19, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106-4945, USA. jma13@po.cwru.edu
Yun
H
H
D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy* / Q000276:immunology / Q000821:virology; D019380:Anti-HIV Agents / Q000008:administration & dosage; D023241:Antiretroviral Therapy, Highly Active / Q000706:statistics & numerical data; D001699:Biometry; D018791:CD4 Lymphocyte Count; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D006678:HIV / Q000187:drug effects / Q000302:isolation & purification; D006801:Humans; D015233:Models, Statistical
D019380:Anti-HIV Agents