A practical approach to computing power for generalized linear models with nominal, count, or ordinal responses
Lyles R, Lin H, Williamson J. A practical approach to computing power for generalized linear models with nominal, count, or ordinal responses. Statistics In Medicine 2006, 26: 1632-1648. PMID: 16817148, DOI: 10.1002/sim.2617.Peer-Reviewed Original ResearchConceptsNon-central chi-square approximationChi-square approximationLikelihood ratio statisticModerate sample sizesEstimating conditional powerVariance-covariance matrixNon-continuous outcomesUnconditional powerRatio statisticWald statisticContinuous covariatesOrdinal responsesJoint distributionGeneralized linear modelApproximation powerConditional powerCount outcomesLinear modelNull hypothesisSample sizeStandard softwareSquare approximationResponse probabilityCovariatesApproximation
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