On power and sample size calculations for likelihood ratio tests in generalized linear models

Biometrics

Volumn 56, Issue 4, 2000, Pages 1192-1196

  Shieh, G ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Generalized linear models; Likelihood ratio test; Logistic regression; Noncentral chi square; Poisson regression; Sample size; Score test; Statistical power

Indexed keywords

STATISTICAL TESTS;

GENERALIZED LINEAR MODEL; LIKELIHOOD RATIO TESTS; LOGISTICS REGRESSIONS; NONCENTRAL CHI-SQUARES; POISSON REGRESSION; POWER AND SAMPLE SIZE; SAMPLE SIZES; SCORE TEST; SIZE CALCULATIONS; STATISTICAL POWER;

PROBABILITY DISTRIBUTIONS;

ARTICLE; COVARIANCE; MAXIMUM LIKELIHOOD METHOD; SAMPLING; SCORING SYSTEM; STATISTICAL MODEL; STATISTICS;

EID: 0033639285     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01192.x     Document Type: Article

References (11)

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5. Generalized linear models
6. Power/sample size calculations for generalized linear models
7. Power calculations for likelihood ratio tests in generalized linear models
8. A simpler method to compute power for likelihood ratio tests in generalized linear models
9. Sample size for logistic regression with small response probability