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

DOI10.1016/j.jspi.2003.09.017zbMath1121.62069OpenAlexW2011667180MaRDI QIDQ1765756

Gwowen Shieh

Publication date: 23 February 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.09.017

zbMATH Keywords

Poisson regressionLikelihood ratio testScore testLogistic regressionInformation matrixNoncentral chi-square

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Generalized linear models (logistic models) (62J12) Monte Carlo methods (65C05)

Related Items (4)

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 ⋮ Sample Size Determination for Logistic Regression: A Simulation Study

Cites Work

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• Longitudinal data analysis using generalized linear models
• Sample size calculations for logistic and Poisson regression models
• An F Approximation to the Distribution of a Linear Combination of Chi-squared Variables.
• Power/Sample Size Calculations for Generalized Linear Models
• Sample Size for Logistic Regression with Small Response Probability
• Wald's Test as Applied to Hypotheses in Logit Analysis
• On Power and Sample Size Calculations for Likelihood Ratio Tests in Generalized Linear Models

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