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http://dx.doi.org/10.5351/KJAS.2004.17.2.253

Simulation Study for Statistical Methods in Comparing Cure Rates between Two Groups  

박미라 (을지의과대학교 의예과)
이재원 (고려대학교 통계학)
진서훈 (국민은행 카드마케팅팀)
Publication Information
The Korean Journal of Applied Statistics / v.17, no.2, 2004 , pp. 253-267 More about this Journal
Abstract
In some clinical trials, one may see that a significant fraction of patients are cured and their original disease does not recur even after termination of treatment and pro-longed follow-up. This situation occurs frequently in pediatric cancer trials where there are excellent therapeutic results. In such cases, interest concentrated on the difference of cure rates rather than other types of differences in failure distributions. Various authors have investigated the parametric and nonparametric methods for testing the difference of cure rates. In this study, we compare by simulation the power and size of a parametric test and five nonparametric tests in a various range of the alternatives, censoring rates and cure rates. Our objectives are to determine if any test was preferable on the basis of size and power in various situation, and to investigate the effect of the model misspecification.
Keywords
Cure rate; Simulation; Mixture model; Proportional hazard model; Kaplan-Meier estimate.;
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