Lifetime Data Anal - Empirical receiver operating characteristic curve for two-sample comparison with cure fractions.

Tópicos

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Resumo

Two-sample comparison of survival times with "cured patients" is of major interest and a challenging issue in many areas, particularly in cancer clinical research. Recently, several authors have proposed various procedures of comparison, including tests of no overall, no short-term and no long-term differences between two samples. In clinical practice, it is often of interest to detect the difference in treatment effects among noncured patients regardless of the difference between cure fractions. In this paper, we propose a statistical test to compare two samples with cured patients and possibly heterogeneous treatment effects based on a class of semi-parametric transformation models, and our main focus is on the survival times of noncured patients. The empirical and quantile processes are used to construct strong approximations for the empirical curves. The two-sample test is then constructed from general least squares estimators derived from these processes. Simulation results show that the proposed test perform well. As an example of application, a set of bladder cancer data is analyzed to illustrate the proposed methods.

Resumo Limpo

twosampl comparison surviv time cure patient major interest challeng issu mani area particular cancer clinic research recent sever author propos various procedur comparison includ test overal shortterm longterm differ two sampl clinic practic often interest detect differ treatment effect among noncur patient regardless differ cure fraction paper propos statist test compar two sampl cure patient possibl heterogen treatment effect base class semiparametr transform model main focus surviv time noncur patient empir quantil process use construct strong approxim empir curv twosampl test construct general least squar estim deriv process simul result show propos test perform well exampl applic set bladder cancer data analyz illustr propos method

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