In an accelerated hazards model, the hazard functions of a failure time are related through the time scale-change, which is often a function of covariates and associated parameters. When the hazard functions have special properties, such as monotonicity in time, the parameters may be clinically meaningful in measuring a treatment effect. This paper reviews methodological and theoretical development of this model. Applications of the accelerated hazards model including sample size calculation in clinical trials, are also explored.
Statistical Methodology | Statistical Models | Statistical Theory | Survival Analysis
Chen, Ying Qing; Jewell, Nicholas P.; and Yang, Jingrong, "Accelerated Hazards Model: Method, Theory and Applications" (September 2002). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 117.