Literature DB >> 30802992

Hidradenitis suppurativa and diabetes: big data bias masks a true association.

J W Frew1.   

Abstract

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Year:  2019        PMID： 30802992      PMCID： PMC6522264          DOI： 10.1111/ced.13954

Source DB:  PubMed          Journal:  Clin Exp Dermatol        ISSN： 0307-6938            Impact factor:   3.470


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  5 in total

1.  More than numbers: the power of graphs in meta-analysis.

Authors:  Leon Bax; Noriaki Ikeda; Naohito Fukui; Yukari Yaju; Harukazu Tsuruta; Karel G M Moons
Journal:  Am J Epidemiol       Date:  2008-12-08       Impact factor: 4.897

2.  Big data and large sample size: a cautionary note on the potential for bias.

Authors:  Robert M Kaplan; David A Chambers; Russell E Glasgow
Journal:  Clin Transl Sci       Date:  2014-07-15       Impact factor: 4.689

3.  Hidradenitis suppurativa and diabetes mellitus: updated systematic review and adjusted meta-analysis.

Authors:  K Phan; O Charlton; S D Smith
Journal:  Clin Exp Dermatol       Date:  2019-02-07       Impact factor: 3.470

4.  Enrollment factors and bias of disease prevalence estimates in administrative claims data.

Authors:  Elizabeth T Jensen; Suzanne F Cook; Jeffery K Allen; John Logie; Maurice Alan Brookhart; Michael D Kappelman; Evan S Dellon
Journal:  Ann Epidemiol       Date:  2015-03-21       Impact factor: 3.797

5.  The heterogeneity statistic I(2) can be biased in small meta-analyses.

Authors:  Paul T von Hippel
Journal:  BMC Med Res Methodol       Date:  2015-04-14       Impact factor: 4.615
  5 in total

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