کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10327710 | 681346 | 2005 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Equivalence of two treatments and sample size determination under exponential survival model with censoring
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
We present the likelihood score and F statistics for ascertaining equivalence of two treatments in survival under an exponential model with independent censoring. We provide explicit formulae for power and sample size requirement for trials using the score and F tests, and compare the score and F tests with the log rank test by Com-Nougue et al. (Statist. Med. 12 (1993) 1353). Simulation results show that empirical powers of the score, F and log rank tests are satisfactorily close to the corresponding asymptotic powers for small-to-moderate sample size. We find these three methods are essentially identical in terms of level and power. However, the score and F methods are very sensitive to departure from the exponential assumption while the log rank test is more robust. The methods are illustrated by application to data from a randomized trial of two treatments for B non-Hodgkin lymphoma.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 49, Issue 1, 15 April 2005, Pages 217-226
Journal: Computational Statistics & Data Analysis - Volume 49, Issue 1, 15 April 2005, Pages 217-226
نویسندگان
Jun-mo Nam, Jinheum Kim, Seungyeoun Lee,