عنوان
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ON COMPARISON OF SURVIVAL CURVES WITH INTERVAL CENSORED DATA
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نوع پژوهش
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مقاله چاپشده
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کلیدواژهها
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Exponential distribution, Generalized log-rank test, Interval censoring, Monte Carlo simulation, Survival comparison.
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چکیده
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Abstract. Survival comparison is one of the main goals and interesting problems in most survival studies such as clinical studies. In this paper, we compare through a Monte Carlo study, several tests for comparison of survival functions for interval censored failure time data. In particular, three nonparametric generalized log-rank tests, a parametric score test and an imputation-based test have been considered. It is observed that the parametric score test and the imputation test outperform the nonparametric generalized log-rank tests in most cases. Finally, a real dataset is studied for illustrative purposes.
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پژوهشگران
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دانیال حبیبی (نفر دوم)، رضا پاکیاری (بازنشسته) (نفر اول)
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