Literature DB >> 588658

Pair-matching-a reappraisal of a popular technique.

S M McKinlay.   

Abstract

Pair-matching is undoubtedly one of the most popular techniques for controlling variation in both medical and other investigations involving human populations. Given the obvious advantages of ease of implementation and comprehension, apparent efficiency and simplicity of analysis, this popularity is understandable. Despite this appeal, however, pair-matching frequently involves high cost (particularly in the loss of unmatchable units), cannot claim efficiency when appropriate comparisons of precision are made, and suffers some important limitations in the analysis which directly affect inference. The persistence of the technique in the face of these limitations is discussed with reference to the disjunction between theoretical models and practical research constraints. It is concluded that this design may not be the optimal choice in many, if not most, research situations.

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Year:  1977        PMID: 588658

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  7 in total

1.  Why match? Investigating matched case-control study designs with causal effect estimation.

Authors:  Sherri Rose; Mark J van der Laan
Journal:  Int J Biostat       Date:  2009-01-06       Impact factor: 0.968

2.  The use and misuse of matching in case-control studies: the example of polycystic ovary syndrome.

Authors:  Michael S Bloom; Enrique F Schisterman; Mary L Hediger
Journal:  Fertil Steril       Date:  2007-04-11       Impact factor: 7.329

3.  [Predictors of early retirement and focused assignment to medical rehabilitation].

Authors:  S Biefang; N Gerdes; J Hoeltz; P Potthoff
Journal:  Soz Praventivmed       Date:  1990

4.  Effects of tobacco smoking and oral contraceptive use on theophylline disposition.

Authors:  M J Gardner; K M Tornatore; W J Jusko; R Kanarkowski
Journal:  Br J Clin Pharmacol       Date:  1983-09       Impact factor: 4.335

5.  Short-course chemotherapy for mycobacteriosis kansasii?

Authors:  D E Schraufnagel; J A Leech; M N Schraufnagel; B Pollak
Journal:  Can Med Assoc J       Date:  1984-01-01       Impact factor: 8.262

6.  Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation.

Authors:  Laura B Balzer; Maya L Petersen; Mark J van der Laan
Journal:  Stat Med       Date:  2014-11-25       Impact factor: 2.373

7.  Unconditional or Conditional Logistic Regression Model for Age-Matched Case-Control Data?

Authors:  Chia-Ling Kuo; Yinghui Duan; James Grady
Journal:  Front Public Health       Date:  2018-03-02
  7 in total

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