Literature DB >> 25899999

Type of question could inform the taxonomy of bias.

C Mary Schooling1, Benjamin J Cowling, C Mary Schooling1.   

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Year:  2015        PMID: 25899999      PMCID: PMC4452413          DOI: 10.1097/EDE.0000000000000308

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


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  3 in total

1.  Why representativeness should be avoided.

Authors:  Kenneth J Rothman; John E J Gallacher; Elizabeth E Hatch
Journal:  Int J Epidemiol       Date:  2013-08       Impact factor: 7.196

2.  Causal diagrams for epidemiologic research.

Authors:  S Greenland; J Pearl; J M Robins
Journal:  Epidemiology       Date:  1999-01       Impact factor: 4.822

Review 3.  Toward a clarification of the taxonomy of "bias" in epidemiology textbooks.

Authors:  Sharon Schwartz; Ulka B Campbell; Nicolle M Gatto; Kirsha Gordon
Journal:  Epidemiology       Date:  2015-03       Impact factor: 4.822

  3 in total

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