Jump to ContentJump to Main Navigation
Research Methods in Occupational Epidemiology$
Users without a subscription are not able to see the full content.

Harvey Checkoway, Neil E. Pearce, and David Kriebel

Print publication date: 2004

Print ISBN-13: 9780195092424

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195092424.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in OSO for personal use (for details see www.oxfordscholarship.com/page/privacy-policy).date: 25 May 2019

Advanced Statistical Analysis

Advanced Statistical Analysis

(p.263) 9 Advanced Statistical Analysis
Research Methods in Occupational Epidemiology

Harvey Checkoway

Neil Pearce

David Kriebel

Oxford University Press

Stratified analyses may not be feasible if there are multiple exposure categories or two or more than two or three confounders. In this situation, multiple regression methods are required. This chapter presents an overview of the methods that are used for analyzing occupational epidemiology data. It begins with a presentation of the basic multiple linear regression model used when the outcome of interest in measured as a continuous variable. This is followed by a presentation of generalized estimating equation (GEE) methods in the context of repeated measures analysis. The general form of the log-linear model is then introduced. The specific forms of Poisson regression (for cohort studies), the Cox proportional hazards model (for survival studies), and logistic regression (for case-control studies) are then defined and illustrated with occupational epidemiology examples. Various aspects of model specification are considered, including variable specification, estimation of joint effects, exposure-response estimation, and regression diagnostics.

Keywords:   Cox proportional hazards model, data analysis, generalize estimating equations, GEE, log-linear models, logistic regression, Poisson regression, regression modeling

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .