Literature DB >> 6971055

Selection bias in epidemiologic studies.

D G Kleinbaum, H Morgenstern, L L Kupper.   

Abstract

Consideration of factors involved in the selection of subjects is essential for evaluating the validity of a putative etiologic association. The purpose of this paper is to provide a quantitative conceptual framework for understanding selection bias; this framework integrates both epidemiologic and statistical considerations. Emphasis is given to specifying the conditions under which such bias is likely to occur, identifying the direction and magnitude of the bias, and illustrating how these features differ by type of study design.

Mesh:

Year:  1981        PMID: 6971055     DOI: 10.1093/oxfordjournals.aje.a113113

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  32 in total

1.  Bias.

Authors:  Miguel Delgado-Rodríguez; Javier Llorca
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

2.  Loss to follow-up in cohort studies: how much is too much?

Authors:  Vicki Kristman; Michael Manno; Pierre Côté
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

3.  Removal risks in Swedish Friesian dairy cows according to parity, stage of lactation, and occurrence of clinical mastitis.

Authors:  P H Bendixen; D B Astrand
Journal:  Acta Vet Scand       Date:  1989       Impact factor: 1.695

4.  Assessing the Potential for Bias From Nonresponse to a Study Follow-up Interview: An Example From the Agricultural Health Study.

Authors:  Jessica L Rinsky; David B Richardson; Steve Wing; John D Beard; Michael Alavanja; Laura E Beane Freeman; Honglei Chen; Paul K Henneberger; Freya Kamel; Dale P Sandler; Jane A Hoppin
Journal:  Am J Epidemiol       Date:  2017-08-15       Impact factor: 4.897

5.  [European Study of Vertebral Osteoporosis (EVOS): cooperation of participants and selection bias in Germany].

Authors:  C Matthis; C Schlaich; C Scheidt-Nave; A Raspe; H Raspe
Journal:  Med Klin (Munich)       Date:  1998-03-15

6.  Number of people in the United States experiencing ambulatory and independent living difficulties.

Authors:  Carlos Siordia
Journal:  J Soc Work Disabil Rehabil       Date:  2014

7.  Quantitative bias analysis in an asthma study of rescue-recovery workers and volunteers from the 9/11 World Trade Center attacks.

Authors:  Anne M Jurek; George Maldonado
Journal:  Ann Epidemiol       Date:  2016-09-21       Impact factor: 3.797

8.  Determining cystic fibrosis-affected lung microbiology: comparison of spontaneous and serially induced sputum samples by use of terminal restriction fragment length polymorphism profiling.

Authors:  Geraint B Rogers; Stuart Skelton; David J Serisier; Christopher J van der Gast; Kenneth D Bruce
Journal:  J Clin Microbiol       Date:  2009-11-11       Impact factor: 5.948

9.  Assessment of selection bias in clinic-based populations of childhood cancer survivors: a report from the childhood cancer survivor study.

Authors:  Kirsten K Ness; Wendy Leisenring; Pam Goodman; Toana Kawashima; Ann C Mertens; Kevin C Oeffinger; Gregory T Armstrong; Leslie L Robison
Journal:  Pediatr Blood Cancer       Date:  2009-03       Impact factor: 3.167

10.  Patient selection factors in angiographic studies: a conceptual formulation and empirical test.

Authors:  D R Ragland; D C Helmer; T E Seeman
Journal:  J Behav Med       Date:  1991-12
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