One-stage and two-stage meta-analysis of individual participant data led to consistent summarized evidence: lessons learned from combining multiple databases

One-stage and two-stage meta-analysis of individual participant data led to consistent... ObjectiveCombining multiple health-care databases (DBs) allows comparing the effects of a wide variety of health-care services. There is a growing interest in methods for combining the results from multiple DBs. We attempted to learn lessons about the performance of one- and two-stage approaches from the reanalysis of data drawn from two studies of pharmacoepidemiology based on multiple DBs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Clinical Epidemiology Elsevier

One-stage and two-stage meta-analysis of individual participant data led to consistent summarized evidence: lessons learned from combining multiple databases

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Inc.
ISSN
0895-4356
D.O.I.
10.1016/j.jclinepi.2017.11.020
Publisher site
See Article on Publisher Site

Abstract

ObjectiveCombining multiple health-care databases (DBs) allows comparing the effects of a wide variety of health-care services. There is a growing interest in methods for combining the results from multiple DBs. We attempted to learn lessons about the performance of one- and two-stage approaches from the reanalysis of data drawn from two studies of pharmacoepidemiology based on multiple DBs.

Journal

Journal of Clinical EpidemiologyElsevier

Published: Mar 1, 2018

References

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