NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model

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• 作者：Chao Cai ; Songfeng Wang ; Wenbin Lu ; Jiajia Zhang
• 关键词：Proportional hazards mixture cure model ; Power ; Sample size ; Weighted log-rank test ; R package
• 刊名：Computer Methods and Programs in Biomedicine
• 出版年：January, 2014
• 年：2014
• 卷：113
• 期：1
• 页码：290-300
• 全文大小：1342 K

文摘

Due to advances in medical research, more and more diseases can be cured nowadays, which largely increases the need for an easy-to-use software in calculating sample size of clinical trials with cure fractions. Current available sample size software, such as PROC POWER in SAS, Survival Analysis module in PASS, powerSurvEpi package in R are all based on the standard proportional hazards (PH) model which is not appropriate to design a clinical trial with cure fractions. Instead of the standard PH model, the PH mixture cure model is an important tool in handling the survival data with possible cure fractions. However, there are no tools available that can help design a trial with cure fractions. Therefore, we develop an R package NPHMC to determine the sample size needed for such study design.