Extra-Poisson Variation in Log-Linear Models

N. E. Breslow

doi:10.2307/2347661

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Extra-Poisson Variation in Log-Linear Models

N. E. Breslow

Year: 1984 Journal: Journal of the Royal Statistical Society Series C (Applied Statistics) Vol: 33 (1)Pages: 38-38 Publisher: Oxford University Press

DOI: 10.2307/2347661

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Abstract

A modification of the iterated reweighted least squares scheme of Williams (1982) conveniently accommodates extra‐Poisson variation when fitting log‐linear models to tables of frequencies or rates. The method is applied to the analysis of cancer death rates by age and birth cohort and to testing for mutagenic effects in a standard bioassay.

Keywords:

Statistics Log-linear model Variation (astronomy) Poisson distribution Mathematics Linear model Applied mathematics Physics

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Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Health Systems, Economic Evaluations, Quality of Life

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Extra-Poisson Variation in Log-Linear Models

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