Literature DB >> 12238297

History of bias.

Paolo Vineis1.   

Abstract

Epidemiologists have always been conscious of the importance of controlling for distortions, although the definition itself of bias has changed over time. Central to this discussions in the past was the relative vulnerability of different study designs to bias and uncontrollable confounding (confounding being clearly distinguishable from bias, as a problem of inter-mixed causal effects due to the non-random distribution of risk factors within the study population). In particular, controversy arose over aspects of case-control study design. Also a formulation of "typologies of bias" during the 1970s helped to define some of the most important sources of distortion in the design, analysis and interpretation of epidemiological studies. The subsequent period--until now--has been characterised by more formal and systematic definitions.

Mesh:

Year:  2002        PMID: 12238297     DOI: 10.1007/BF01591887

Source DB:  PubMed          Journal:  Soz Praventivmed        ISSN: 0303-8408


  12 in total

1.  Limitations of the application of fourfold table analysis to hospital data.

Authors:  J BERKSON
Journal:  Biometrics       Date:  1946-06       Impact factor: 2.571

2.  Bias in analytic research.

Authors:  D L Sackett
Journal:  J Chronic Dis       Date:  1979

3.  Methodologic problems and standards in case-control research.

Authors:  A R Feinstein
Journal:  J Chronic Dis       Date:  1979

4.  Lead time gained by diagnostic screening for breast cancer.

Authors:  G B Hutchison; S Shapiro
Journal:  J Natl Cancer Inst       Date:  1968-09       Impact factor: 13.506

5.  Some pitfalls in the evaluation of screening programs.

Authors:  M Feinleib; M Zelen
Journal:  Arch Environ Health       Date:  1969-09

6.  Mammographic screening: a reappraisal of benefits and risks.

Authors:  J C Bailar
Journal:  Clin Obstet Gynecol       Date:  1978-03       Impact factor: 2.190

7.  An empirical demonstration of Berkson's bias.

Authors:  R S Roberts; W O Spitzer; T Delmore; D L Sackett
Journal:  J Chronic Dis       Date:  1978-02

8.  Low mortality rates in industrial cohort studies due to selection for work and survival in the industry.

Authors:  A J Fox; P F Collier
Journal:  Br J Prev Soc Med       Date:  1976-12

9.  Detection bias and relation of benign breast disease to breast cancer.

Authors:  A L Silber; R I Horwitz
Journal:  Lancet       Date:  1986-03-22       Impact factor: 79.321

10.  The Will Rogers phenomenon. Stage migration and new diagnostic techniques as a source of misleading statistics for survival in cancer.

Authors:  A R Feinstein; D M Sosin; C K Wells
Journal:  N Engl J Med       Date:  1985-06-20       Impact factor: 91.245

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  3 in total

1.  The making of an epidemiological theory of bias and confounding.

Authors:  Alfredo Morabia; Thomas Abel
Journal:  Soz Praventivmed       Date:  2002

2.  Epidemiologic methods: beyond clinical medicine, beyond epidemiology.

Authors:  Francisco Bolúmar; Miquel Porta
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

3.  Anxiety and depression, chronic physical conditions, and quality of life in an urban population sample study.

Authors:  Leslie Lim; Ai-Zhen Jin; Tze-Pin Ng
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-08-26       Impact factor: 4.328

  3 in total

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