Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Statistical Modelling
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Lee, Y.
Right arrow Articles by Nelder, J. A
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Modelling and analysing correlated non-normal data

Youngjo Lee

Seoul National University, Korea

John A Nelder

Department of Mathematics, Imperial College, London, UK, j.nelder{at}ic.ac.uk

We introduce a model class that includes many types of correlation structures for non-Gaussian models. We then show how to check the underlying model assumptions to discriminate between different correlation patterns and demonstrate how to select suitable models. Strawberry data are used to discuss the choice between fixed- and random-effect models for the fertility effect in agricultural experiments. Prostate-cancer data are used to demonstrate the method applied to the analysis of longitudinal studies and Scottish lip-cancer data to illustrate an application to spatial statistics.

Key Words: hierarchical generalized linear model • correlation • longitudinal study • state-space model • spatial statistics • model checking

Statistical Modelling, Vol. 1, No. 1, 3-16 (2001)
DOI: 10.1177/1471082X0100100102
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 BiostatisticsHome page
J. Wakefield
Disease mapping and spatial regression with count data
Biostat., April 1, 2007; 8(2): 158 - 183.
[Abstract] [Full Text] [PDF]