Analysing survival in the presence of an auxiliary variable.
A primary endpoint of AIDS trials is the length of survival. Often there is auxiliary information available on measures of disease progression, which significantly alter the risk of mortality. This paper explores the use of this information in obtaining a refined estimate of survival, and a test based on this estimate. The methods are applied to an AIDS clinical trial, and results of simulations are provided which compare the approach to standard methods for survival analysis.
Finkelstein
D M
DM
Biostatistics Department, Harvard School of Public Health, Boston, MA 02115.
Schoenfeld
D A
DA
D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy / Q000401:mortality; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D016016:Proportional Hazards Models; D018709:Statistics, Nonparametric; D016019:Survival Analysis; D013997:Time Factors; D016896:Treatment Outcome