Comparative Study
doi: 10.1093/oxfordjournals.aje.a116237.
Methods for trend estimation from summarized dose-response data, with applications to meta-analysis
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- PMID: 1626547
- DOI: 10.1093/oxfordjournals.aje.a116237
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Comparative Study
Methods for trend estimation from summarized dose-response data, with applications to meta-analysis
Am J Epidemiol.
.
Abstract
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) across different exposure or treatment levels. The authors propose two methods that account for the correlations but require only the summary estimates and marginal data from the studies. These methods provide more efficient estimates of regression slope, more accurate variance estimates, and more valid heterogeneity tests than those previously available. One method also allows estimation of nonlinear trend components, such as quadratic effects. The authors illustrate these methods in a meta-analysis of alcohol use and breast cancer.
Comment in
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BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants.BMJ. 2016 May 4;353:i2156. doi: 10.1136/bmj.i2156. BMJ. 2016. PMID: 27146380 Free PMC article.
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