Higgins JP - Search Results

1

Machine learning to assist risk-of-bias assessments in systematic reviews.

Millard LA, Flach PA, Higgins JP. Millard LA, et al. Among authors: higgins jp. Int J Epidemiol. 2016 Feb;45(1):266-77. doi: 10.1093/ije/dyv306. Epub 2015 Dec 8. Int J Epidemiol. 2016. PMID: 26659355 Free PMC article.

2

Meta-analyses involving cross-over trials: methodological issues.

Elbourne DR, Altman DG, Higgins JP, Curtin F, Worthington HV, Vail A. Elbourne DR, et al. Among authors: higgins jp. Int J Epidemiol. 2002 Feb;31(1):140-9. doi: 10.1093/ije/31.1.140. Int J Epidemiol. 2002. PMID: 11914310

3

Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography.

Sanderson S, Tatt ID, Higgins JP. Sanderson S, et al. Among authors: higgins jp. Int J Epidemiol. 2007 Jun;36(3):666-76. doi: 10.1093/ije/dym018. Epub 2007 Apr 30. Int J Epidemiol. 2007. PMID: 17470488 Review.

4

Commentary: Heterogeneity in meta-analysis should be expected and appropriately quantified.

Higgins JP. Higgins JP. Int J Epidemiol. 2008 Oct;37(5):1158-60. doi: 10.1093/ije/dyn204. Int J Epidemiol. 2008. PMID: 18832388 No abstract available.

5

Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis.

Davey J, Turner RM, Clarke MJ, Higgins JP. Davey J, et al. Among authors: higgins jp. BMC Med Res Methodol. 2011 Nov 24;11:160. doi: 10.1186/1471-2288-11-160. BMC Med Res Methodol. 2011. PMID: 22114982 Free PMC article.

6

Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews.

Turner RM, Davey J, Clarke MJ, Thompson SG, Higgins JP. Turner RM, et al. Among authors: higgins jp. Int J Epidemiol. 2012 Jun;41(3):818-27. doi: 10.1093/ije/dys041. Epub 2012 Mar 29. Int J Epidemiol. 2012. PMID: 22461129 Free PMC article.

7

Synthesizing evidence on complex interventions: how meta-analytical, qualitative, and mixed-method approaches can contribute.

Petticrew M, Rehfuess E, Noyes J, Higgins JP, Mayhew A, Pantoja T, Shemilt I, Sowden A. Petticrew M, et al. Among authors: higgins jp. J Clin Epidemiol. 2013 Nov;66(11):1230-43. doi: 10.1016/j.jclinepi.2013.06.005. Epub 2013 Aug 14. J Clin Epidemiol. 2013. PMID: 23953082

8

ROBIS: A new tool to assess risk of bias in systematic reviews was developed.

Whiting P, Savović J, Higgins JP, Caldwell DM, Reeves BC, Shea B, Davies P, Kleijnen J, Churchill R; ROBIS group. Whiting P, et al. Among authors: higgins jp. J Clin Epidemiol. 2016 Jan;69:225-34. doi: 10.1016/j.jclinepi.2015.06.005. Epub 2015 Jun 16. J Clin Epidemiol. 2016. PMID: 26092286 Free PMC article.

9

Evaluation of the Cochrane tool for assessing risk of bias in randomized clinical trials: overview of published comments and analysis of user practice in Cochrane and non-Cochrane reviews.

Jørgensen L, Paludan-Müller AS, Laursen DR, Savović J, Boutron I, Sterne JA, Higgins JP, Hróbjartsson A. Jørgensen L, et al. Among authors: higgins jp. Syst Rev. 2016 May 10;5:80. doi: 10.1186/s13643-016-0259-8. Syst Rev. 2016. PMID: 27160280 Free PMC article. Review.

10

Heterogeneity in application, design, and analysis characteristics was found for controlled before-after and interrupted time series studies included in Cochrane reviews.

Polus S, Pieper D, Burns J, Fretheim A, Ramsay C, Higgins JPT, Mathes T, Pfadenhauer LM, Rehfuess EA. Polus S, et al. J Clin Epidemiol. 2017 Nov;91:56-69. doi: 10.1016/j.jclinepi.2017.07.008. Epub 2017 Jul 25. J Clin Epidemiol. 2017. PMID: 28750849 Review.

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