JOURNAL ARTICLE

Admissible, consistent multiple testing with applications

Chuanwen Chen

Year: 2009 Journal:   Rutgers University Community Repository (Rutgers University)   Publisher: Rutgers, The State University of New Jersey

Abstract

For multivariate normal models and exponential family models a multiple testing stepwise method is offered that is both admissible and consistent. The method is readily adaptable to selecting variables in linear regression models where it is akin to the forward selection method plus a screening stage plus a sign compatibility stage. The method is also adaptable to testing the local odds ratios in contingency tables in which the categories are ordered. Examples and simulations are included.

Keywords:
Contingency table Chen Multiple comparisons problem Multivariate statistics Mathematics Model selection Statistical hypothesis testing Generalized linear model Computer science Econometrics Statistics

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Topics

Statistical Methods in Clinical Trials
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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