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Statistical Methods in Medical Research
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*AIDS
*AIDS Medicines
*Clinical Trials
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Statistical advances in AIDS therapy trials

Jeffrey M Albert

Department of Epidemiology and Biostatistics, School of Medicine BRB-G19, Case Western Reserve University, Cleveland, Ohio, USA, jma13{at}po.cwru.edu

Hyun Yun

Department of Epidemiology and Biostatistics, School of Medicine BRB-G19, Case Western Reserve University, Cleveland, Ohio, USA

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.

Statistical Methods in Medical Research, Vol. 10, No. 2, 85-100 (2001)
DOI: 10.1177/096228020101000202
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