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Cited by 1,280

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Meta-Analysis for Linear and Nonlinear Dose-Response Relations: Examples, an Evaluation of Approximations, and Software

Open access
Orsini, Nicola, Li, Ruifeng, Wolk, Alicja, Khudyakov, Polyna, Spiegelman, Donna·2012·American Journal of Epidemiology
DOI 10.1093/aje/kwr265
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Abstract

Two methods for point and interval estimation of relative risk for log-linear exposure-response relations in meta-analyses of published ordinal categorical exposure-response data have been proposed. The authors compared the results of a meta-analysis of published data using each of the 2 methods with the results that would be obtained if the primary data were available and investigated the circumstances under which the approximations required for valid use of each meta-analytic method break down. They then extended the methods to handle nonlinear exposure-response relations. In the present article, methods are illustrated using studies of the relation between alcohol consumption and colorectal and lung cancer risks from the ongoing Pooling Project of Prospective Studies of Diet and Cancer. In these examples, the differences between the results of a meta-analysis of summarized published data and the pooled analysis of the individual original data were small. However, incorrectly assuming no correlation between relative risk estimates for exposure categories from the same study gave biased confidence intervals for the trend and biased P values for the tests for nonlinearity and between-study heterogeneity when there was strong confounding by other model covariates. The authors illustrate the use of 2 publicly available user-friendly programs (Stata and SAS) to implement meta-analysis for dose-response data.

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Research works printed but not linked: 15

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  2. Hamling, 2008, Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category, Stat Med, 27, 954, 10.1002/sim.3013 · DOI
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Cited by

Metadata

Authors
Orsini, N., Li, R., Wolk, A., Khudyakov, P., & Spiegelman, D.
Venue
American Journal of Epidemiology
Publisher
Oxford University Press (OUP)
Published
2011-12-01
Volume
175
Issue
1
Pages
66-73
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
DOI
10.1093/aje/kwr265
OpenAlex
W2139845079
Cited by
1,280
References
3
FWCI
36.47
Type
journal article
Language
en
Open access
bronze

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