Abstract
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.
Disciplines
Statistical Methodology | Statistical Models | Statistical Theory | Survival Analysis
Suggested Citation
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.
https://biostats.bepress.com/ucbbiostat/paper117
Included in
Statistical Methodology Commons, Statistical Models Commons, Statistical Theory Commons, Survival Analysis Commons
Comments
Published 2003 in Handbook of Statistics on Survival Analysis. Amsterdam: North-Holland