Analysing survival in the presence of an auxiliary variable
Copyright policy )Analysing survival in the presence of an auxiliary variable
AbstractA 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.
- Harvard University United States
- Massachusetts General Hospital United States
Acquired Immunodeficiency Syndrome, Clinical Trials as Topic, Models, Statistical, Time Factors, Survival Analysis, Statistics, Nonparametric, Treatment Outcome, Data Interpretation, Statistical, Humans, Proportional Hazards Models
Acquired Immunodeficiency Syndrome, Clinical Trials as Topic, Models, Statistical, Time Factors, Survival Analysis, Statistics, Nonparametric, Treatment Outcome, Data Interpretation, Statistical, Humans, Proportional Hazards Models
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