BEARdocs

Bayesian approach to inference and variable selection for misclassified and under-reported response models.

DSpace/Manakin Repository

Show simple item record

dc.contributor.advisor Stamey, James D.
dc.contributor.author Powers, Stephanie L.
dc.contributor.other Baylor University. Dept. of Statistical Sciences. en
dc.date.copyright 2009-05
dc.identifier.uri http://hdl.handle.net/2104/5355
dc.description.abstract Response partial missingness is a problem in studies conducted in a variety of disciplines. We investigate the impact ignoring response partial missingness has on determining a subset of significant covariates in non-linear regression. In particular, we consider non-differential misclassification in logistic regression and non-differential under-reporting in Poisson regression. Differential misclassification and differential under-reporting are also addressed but in less detail. We then develop a Bayesian approach to select significant covariates while accounting for the partial missingness. Examples of response partial missingness in which the variable selection method is applied include determining the factors that contribute to whether or not an individual will stop smoking and how many days an individual is absent from work. en
dc.rights Baylor University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact librarywebmaster@baylor.edu for inquiries about permission. en
dc.subject Bayesian statistical decision theory. en
dc.subject Regression analysis. en
dc.subject Missing observations (Statistics). en
dc.subject Error analysis (Mathematics). en
dc.subject Poisson distribution. en
dc.title Bayesian approach to inference and variable selection for misclassified and under-reported response models. en
dc.type Thesis en
dc.description.degree Ph.D. en
dc.rights.accessrights Baylor University access only en
dc.contributor.department Statistical Sciences. en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search BEARdocs


Advanced Search

Browse

My Account

Statistics