alexa Sample size for Poisson regression
Diabetes & Endocrinology

Diabetes & Endocrinology

Journal of Diabetes & Metabolism


Abstract Share this page

For the Poisson regression model, an exact expression for Fisher's information matrix, based upon the moment generating function of the distribution of covariates, is calculated. This parallels a similar, approximate, calculation by Whittemore (1981) for logistic regression. The resulting asymptotic variance of the maximum likelihood estimate of the parameters is used to calculate the sample size required to test hypotheses about the parameters at a specified significance and power. Methods for calculating sample size are derived for various distributions of a single covariate, and for a family of multivariate exponential-type distributions of multiple covariates. The procedures are illustrated with two examples

This article was published in Biometrika and referenced in Journal of Diabetes & Metabolism

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version