Record Details

Collapsibility of regression coefficients and its extensions

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Collapsibility of regression coefficients and its extensions
 
Creator VELLAISAMY, P
VIJAY, V
 
Subject contingency-tables
linear-models
marginalization
a-collapsibility
cg-distribution
conditional independence
collapsibility
generalized linear model
linear regression
logistic regression coefficients
poisson regression coefficients
random coefficient regression models
strong collapsibility
 
Description Collapsibility with respect to a measure of association implies that the measure of association can be obtained from the marginal model. We first discuss model collapsibility and collapsibility with respect to regression coefficients for linear regression models. For parallel regression models, we give simple and different proofs of some of the known results and obtain also certain new results. For random coefficient regression models, we define (average) A-collapsibility and obtain conditions under which it holds. We consider Poisson regression and logistic regression models also, and derive conditions for collapsibility and A-collapsibility, respectively. These results generalize some of the results available in the literature. Some suitable examples are also discussed. (C) 2007
 
Publisher ELSEVIER SCIENCE BV
 
Date 2011-07-24T13:27:07Z
2011-12-26T12:56:30Z
2011-12-27T05:45:20Z
2011-07-24T13:27:07Z
2011-12-26T12:56:30Z
2011-12-27T05:45:20Z
2008
 
Type Article
 
Identifier JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 138(4), 982-994
0378-3758
http://dx.doi.org/10.1016/j.jspi.2007.03.052
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6438
http://hdl.handle.net/10054/6438
 
Language en