UNSPECIFIED. (2004) Meta-analysis for trend estimation. STATISTICS IN MEDICINE, 23 (1). pp. 3-19. ISSN 0277-6715

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Abstract

Grouped dose measures, heterogeneity and publication bias are three major problems for meta-analysis in trend estimation. In this paper, we propose a model that allows for arbitrarily aggregated dose levels, and show that the resulting estimates and standard errors can be quite different from those given by the usual assigned value method. Based on fitting a model to the funnel plot, we discuss a method for random-effects sensitivity analysis that deals with the problems of heterogeneity and publication bias. A meta-analysis of epidemiological studies on the effect of alcohol on the risk of breast cancer is used to illustrate the method. Our analysis suggests that the rate of increase in risk with alcohol consumption is substantially less than has been previously suggested. Copyright (C) 2004 John Wiley Sons, Ltd.

Item Type:	Journal Article
Subjects:	Q Science > QH Natural history > QH301 Biology R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine R Medicine Q Science > QA Mathematics
Journal or Publication Title:	STATISTICS IN MEDICINE
Publisher:	JOHN WILEY & SONS LTD
ISSN:	0277-6715
Official Date:	15 January 2004
Volume:	23
Number:	1
Number of Pages:	17
Page Range:	pp. 3-19
Identification Number:	10.1002/sim.1595
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/8888

Data sourced from Thomson Reuters' Web of Knowledge

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