Sample size calculations for logistic and Poisson regression models

Biometrika

Volumn 88, Issue 4, 2001, Pages 1193-1199

  Shieh, Gwowen ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Generalised linear model; Information matrix; Logistic regression; Maximum likelihood estimator; Poisson regression; Power; Sample size; Wald statistic

Indexed keywords

EID: 4544319727     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/88.4.1193     Document Type: Article

References (7)

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3. SAS INSTITUTE (1989). SAS/IML Software: Usage and Reference, Version 6. Carey, NC: SAS Institute Inc.
4. SELF, S. G. & MAURITSEN, R. H. (1988). Power/sample size calculations for generalized linear models. Biometrics 44, 79-86.
5. SELF, S. G., MAURITSEN, R. H. & OHARA, J. (1992). Power calculations for likelihood ratio tests in generalized linear models. Biometrics 48, 31-9.
6. SIGNORINI, D. F. (1991). Sample size for Poisson regression. Biometrika 78, 446-50.
7. WHITTEMORE, A. S. (1981). Sample size for logistic regression with small response probability. J. Am. Statist. Assoc. 76, 27-32.