A comparison of two approaches for power and sample size calculations in logistic regression models

Communications in Statistics - Theory and Methods

Volumn 29, Issue 3, 2000, Pages 763-791

  Shieh, Gwowen ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Likelihood ratio test; Logistic regression; Maximum likelihood estimate; Power; Sample size

Indexed keywords

EID: 31244432041     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: 10.1080/03610910008813639     Document Type: Review

References (7)

1. Hsieh, F. Y. (1989). "Sample size tables for logistic regression," Statistics in Medicine, 8, 795-802.
2. Hulley, S. B., Rosenman, R. A., Bawol, R. and Brand, R. J. (1980). "Epidemiology as a guide to clinical decisions: the association between triglyceride and coronary heart disease," New England Journal of Medicine, 302, 1383-1389.
3. SAS Institute. (1989). SAS/IML software: usage and reference, Version 6, Carey, NC.
4. Self, S. G. and Mauritsen, R. H. (1988). "Power/sample size calculations for generalized linear models," Biometrics, 44, 79-86.
5. Self, S. G., Mauritsen, R. H. and Ohara, J. (1992). "Power calculations for likelihood ratio tests in generalized linear models," Biometrics, 48, 31-39.
6. Shieh, G. and O'Brien, R. G. (1998). "A simpler method to compute power for likelihood ratio tests in generalized linear models," Paper presented at the Annual Joint Statistical Meetings of the American Statistical Association, Dallas, Texas.
7. Whittemore, A. S. (1981). "Sample size for logistic regression with small response probability," Journal of the American Statistical Association, 76, 27-32.