On power and sample size calculations for Wald tests in generalized linear models
type: Item
instance of: scholarly article
title: On power and sample size calculations for Wald tests in generalized linear models
zbMATH Open document ID: 1121.62069
author: Gwowen Shieh
published in: Journal of Statistical Planning and Inference
publication date: 2005-02-23T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 62F03
zbMATH DE Number: 2137666
zbMATH Keywords: Information matrix
zbMATH Keywords: Likelihood ratio test
zbMATH Keywords: Logistic regression
zbMATH Keywords: Noncentral chi-square
zbMATH Keywords: Poisson regression
zbMATH Keywords: Score test
MaRDI profile type: Publication
full work available at URL: j.jspi.2003.09.017
OpenAlex ID: W2011667180
cites work: Q3333861
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cites work: Power/Sample Size Calculations for Generalized Linear Models
cites work: On Power and Sample Size Calculations for Likelihood Ratio Tests in Generalized Linear Models
cites work: Sample size calculations for logistic and Poisson regression models.
cites work: Q3996232
cites work: Sample Size for Logistic Regression with Small Response Probability
cites work: An F Approximation to the Distribution of a Linear Combination of Chi-squared Variables.
DOI: 10.1016/J.JSPI.2003.09.017
description: scientific article; zbMATH DE number 2137666