title: Design and analysis of clinical trials with a bivariate failure time endpoint, with application to AIDS Clinical Trials Group Study A5142.
abstract: This paper investigates the use of a bivariate endpoint in clinical trials of antiretroviral drugs to treat infection with the HIV. While they provide the most reliable information about treatment effects, clinical events such AIDS or death are relatively rare among newly treated patients with HIV infection. As a result, surrogate endpoints, such as time to virological failure and time to regimen termination, are generally used in place of clinical endpoints in studies that enroll patients without previous treatment experience. Because no surrogate endpoint has been completely validated (i.e., shown to capture the full effect of treatment on clinical endpoint), it may be preferable to base treatment decisions on more than one surrogate. In this paper, we consider the bivariate endpoint of time to virological failure and time to regimen termination. Analysis of a bivariate endpoint requires appropriate statistical methods that maintain the experimentwise type I error rate when making simultaneous inference with respect to each endpoint. This article outlines such methods and compares their small sample properties using the simulation study that was executed for the purpose of designing a current AIDS clinical trial.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. dirienzo@sdac.harvard.edu
authors.forename: A Gregory
authors.initials: AG
authors.lastname: DiRienzo
authors.forename: Victor
authors.initials: V
authors.lastname: DeGruttola
mesh_terms: D019380:Anti-HIV Agents / Q000009:adverse effects / Q000627:therapeutic use*; D002986:Clinical Trials as Topic / Q000379:methods* / Q000706:statistics & numerical data*; D017326:Clinical Trials, Phase III as Topic / Q000379:methods / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D023381:Endpoint Determination / Q000706:statistics & numerical data*; D015658:HIV Infections / Q000188:drug therapy* / Q000821:virology; D006801:Humans; D016015:Logistic Models; D012107:Research Design; D018401:Sample Size; D017211:Treatment Failure
chemical_list: D019380:Anti-HIV Agents