On Power and Sample Size Calculations for Likelihood Ratio Tests in Generalized Linear Models

DOI10.1111/j.0006-341X.2000.01192.xzbMath1060.62538WikidataQ47222972 ScholiaQ47222972MaRDI QIDQ4670480

Gwowen Shieh

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

likelihood ratio testsample sizescore testlogistic regressionPoisson regressiongeneralized linear modelsstatistical powernoncentral chi-square

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (10)

Power and sample size calculations for Poisson and zero-inflated Poisson regression models ⋮ Sample size calculations for hierarchical Poisson and zero-inflated Poisson regression models ⋮ Numerical methods of sufficient sample size estimation for generalised linear models ⋮ Calculating the power or sample size for the logistic and proportional hazards models ⋮ On power and sample size calculations for Wald tests in generalized linear models ⋮ Two-sample Non Randomized Response Techniques for Sensitive Questions ⋮ Minimum Sample Size Determination for Generalized Extreme Value Distribution ⋮ A Revisit to Sample Size and Power Calculations for Testing Odds Ratio in Two Independent Binomials ⋮ Sample Size Determination for Logistic Regression: A Simulation Study ⋮ General power and sample size calculations for high-dimensional genomic data

Cites Work

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• A GENERAL METHOD FOR APPROXIMATING TO THE DISTRIBUTION OF LIKELIHOOD RATIO CRITERIA
• Power/Sample Size Calculations for Generalized Linear Models
• Sample Size for Logistic Regression with Small Response Probability
• APPROXIMATE CONFIDENCE INTERVALS

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