Power and Sample Size Calculations with the Additive Hazards Model

Journal of Data Science

article

Ling Chen¹  Chengjie Xiong¹  J. Philip Miller¹  Feng Gao¹ 

[1] Washington University School of Medicine

关键词: Additive hazards model;    power;    right-censored data;   

DOI  :  10.6339/JDS.2012.10(1).1044

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

Existing methods on sample size calculations for right-censored data largely assume the failure times follow exponential distribution or the Cox proportional hazards model. Methods under the additive hazards model are scarce. Motivated by a well known example of right-censored failure time data which the additive hazards model fits better than the Cox model, we proposed a method for power and sample size calculation for a two-group comparison assuming the additive hazards model. This model allows the investigator to specify a group difference in terms of a hazard difference and choose increasing, constant or decreasing baseline hazards. The power computation is based on the Wald test. Extensive simulation studies are performed to demonstrate the performance of the proposed approach. Our simulation also shows substantially decreased power if the additive hazards models is misspecified as the Cox proportional hazards model.

【 授权许可】

CC BY