| Literature DB >> 24199658 |
Chao Cai1, Songfeng Wang, Wenbin Lu, Jiajia Zhang.
Abstract
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.Entities:
Keywords: Power; Proportional hazards mixture cure model; R package; Sample size; Weighted log-rank test
Mesh：
Year: 2013 PMID： 24199658 PMCID： PMC3859312 DOI： 10.1016/j.cmpb.2013.10.001
Source DB: PubMed Journal: Comput Methods Programs Biomed ISSN： 0169-2607 Impact factor: 5.428