Literature DB >> 2807679

Bias arising in case-control studies from selection of controls from overlapping groups.

H Austin1, W D Flanders, K J Rothman.   

Abstract

Three examples are used to demonstrate that the selection of controls from categories that overlap can lead to bias. Case-control studies that use friend controls and the practice of age-matching controls to cases within a specified number of years (caliper matching) are examples of the selection bias described in the paper. The bias resulting from the use of friend controls can be large and, since the use of friend controls is common, this source of bias is of considerable practical consequence. The use of friend controls or the selection of controls according to other variables with categories that overlap should be avoided.

Mesh:

Year:  1989        PMID: 2807679     DOI: 10.1093/ije/18.3.713

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  6 in total

1.  Spouses and unrelated friends of probands as controls for stroke genetics studies.

Authors:  Bradford Burke Worrall; Devin L Brown; Thomas G Brott; Robert D Brown; Scott L Silliman; James F Meschia
Journal:  Neuroepidemiology       Date:  2003 Jul-Aug       Impact factor: 3.282

2.  Exchangeability in the case-crossover design.

Authors:  Murray A Mittleman; Elizabeth Mostofsky
Journal:  Int J Epidemiol       Date:  2014-04-22       Impact factor: 7.196

3.  Functional status of patients with primary biliary cirrhosis.

Authors:  Arti Parikh-Patel; Ellen B Gold; Jessica Utts; Howard Worman; Kathryn E Krivy; M Eric Gershwin
Journal:  Am J Gastroenterol       Date:  2002-11       Impact factor: 10.864

4.  Connexin 43, Bcl-2, Bax, Ki67, and E-cadherin patterns in oral squamous cell carcinoma and its relationship with GJA1 rs12197797 C/G.

Authors:  I-G Segura; D-G Secchi; M-F Galíndez; A Carrica; R Bologna-Molina; M Brunotto; V-A Centeno
Journal:  Med Oral Patol Oral Cir Bucal       Date:  2022-07-01

5.  Case-control matching: effects, misconceptions, and recommendations.

Authors:  Mohammad Ali Mansournia; Nicholas Patrick Jewell; Sander Greenland
Journal:  Eur J Epidemiol       Date:  2017-11-03       Impact factor: 12.434

6.  Analysis of Observational Self-matched Data to Examine Acute Triggers of Outcome Events with Abrupt Onset.

Authors:  Elizabeth Mostofsky; Brent A Coull; Murray A Mittleman
Journal:  Epidemiology       Date:  2018-11       Impact factor: 4.822

  6 in total

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