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Controlling the risk of spurious findings from meta-regression.
Higgins JP, Thompson SG. Higgins JP, et al. Stat Med. 2004 Jun 15;23(11):1663-82. doi: 10.1002/sim.1752. Stat Med. 2004. PMID: 15160401
Quantifying heterogeneity in a meta-analysis.
Higgins JP, Thompson SG. Higgins JP, et al. Stat Med. 2002 Jun 15;21(11):1539-58. doi: 10.1002/sim.1186. Stat Med. 2002. PMID: 12111919
How should meta-regression analyses be undertaken and interpreted?
Thompson SG, Higgins JP. Thompson SG, et al. Among authors: higgins jp. Stat Med. 2002 Jun 15;21(11):1559-73. doi: 10.1002/sim.1187. Stat Med. 2002. PMID: 12111920
Measuring inconsistency in meta-analyses.
Higgins JP, Thompson SG, Deeks JJ, Altman DG. Higgins JP, et al. BMJ. 2003 Sep 6;327(7414):557-60. doi: 10.1136/bmj.327.7414.557. BMJ. 2003. PMID: 12958120 Free PMC article. Review.
Meta-analysis in occupational epidemiology: a review of practice.
McElvenny DM, Armstrong BG, Järup L, Higgins JP. McElvenny DM, et al. Among authors: higgins jp. Occup Med (Lond). 2004 Aug;54(5):336-44. doi: 10.1093/occmed/kqh049. Occup Med (Lond). 2004. PMID: 15289591 Review.
Obstacles and opportunities in meta-analysis of genetic association studies.
Salanti G, Sanderson S, Higgins JP. Salanti G, et al. Among authors: higgins jp. Genet Med. 2005 Jan;7(1):13-20. doi: 10.1097/01.gim.0000151839.12032.1a. Genet Med. 2005. PMID: 15654223 Review.
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