標題: On power and sample size calculations for likelihood ratio tests in generalized linear models
作者: Shieh, G
管理科學系
Department of Management Science
關鍵字: generalized linear models;likelihood ratio test;logistic regression;noncentral chi-square;Poisson regression;sample size;score test;statistical power
公開日期: 1-Dec-2000
摘要: A direct extension of the approach described in Self, Mauritsen, and Ohara (1992, Biometrics 48, 31-39) for power and sample size calculations in generalized linear models is presented. The major feature of the proposed approach is that the modification accommodates both a finite and an infinite number of covariate configurations. Furthermore, for the approximation of the noncentrality of the noncentral chi-square distribution for the likelihood ratio statistic, a simplification is provided that not only reduces substantial computation but also maintains the accuracy. Simulation studies are conducted to assess the accuracy for various model configurations and covariate distributions.
URI: http://hdl.handle.net/11536/30070
ISSN: 0006-341X
期刊: BIOMETRICS
Volume: 56
Issue: 4
起始頁: 1192
結束頁: 1196
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