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: | 1-十二月-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 |
顯示於類別: | 期刊論文 |