کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1150829 1489809 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A distribution-free test of parallelism for two-sample repeated measurements
ترجمه فارسی عنوان
آزمون بدون توزیع موازی برای اندازه گیری های تکراری دو نمونه
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
چکیده انگلیسی

In this paper, we propose a new two-sample distribution-free procedure for testing group-by-time interaction effect in repeated measurements from a linear mixed model setting. The test statistic is based on the maximum difference of partial sums (MDPS) over time points between the two groups. Although the test has a biomedical focus, it can be applied in fields that the study is designed and monitored to be balanced and complete with equal sample sizes as would be generally done in a controlled experiment. The asymptotic null distribution of the test statistic was also derived based on the maxima of Brownian bridge under two different conditions. The simulations revealed that MDPS performed markedly better than the commonly used unstructured multivariate approach (UMA) to profile analysis. However, the empirical powers of MDPS test were convincingly close to those of the best-fitting linear mixed model (LMM).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistical Methodology - Volume 30, May 2016, Pages 31–44
نویسندگان
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