Literature DB >> 15252064

Bias.

Miguel Delgado-Rodríguez1, Javier Llorca.   

Abstract

The concept of bias is the lack of internal validity or incorrect assessment of the association between an exposure and an effect in the target population in which the statistic estimated has an expectation that does not equal the true value. Biases can be classified by the research stage in which they occur or by the direction of change in a estimate. The most important biases are those produced in the definition and selection of the study population, data collection, and the association between different determinants of an effect in the population. A definition of the most common biases occurring in these stages is given.

Mesh:

Year:  2004        PMID: 15252064      PMCID: PMC1732856          DOI: 10.1136/jech.2003.008466

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  57 in total

1.  A definition of bias founded on the concept of the study base.

Authors:  G Steineck; A Ahlbom
Journal:  Epidemiology       Date:  1992-11       Impact factor: 4.822

2.  The influence of referral patterns on the characteristics of diagnostic tests.

Authors:  J A Knottnerus; P Leffers
Journal:  J Clin Epidemiol       Date:  1992-10       Impact factor: 6.437

Review 3.  Competing risks in mortality analysis.

Authors:  C L Chiang
Journal:  Annu Rev Public Health       Date:  1991       Impact factor: 21.981

4.  Bias due to non-differential misclassification of polytomous confounders.

Authors:  H Brenner
Journal:  J Clin Epidemiol       Date:  1993-01       Impact factor: 6.437

5.  Selection bias in epidemiologic studies.

Authors:  D G Kleinbaum; H Morgenstern; L L Kupper
Journal:  Am J Epidemiol       Date:  1981-04       Impact factor: 4.897

6.  Non-response bias in studies of diabetic complications: the Rochester Diabetic Neuropathy Study.

Authors:  L J Melton; P J Dyck; J L Karnes; P C O'Brien; F J Service
Journal:  J Clin Epidemiol       Date:  1993-04       Impact factor: 6.437

7.  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

8.  Exclusion bias and the false relationship of reserpine and breast cancer.

Authors:  R I Horwitz; A R Feinstein
Journal:  Arch Intern Med       Date:  1985-10

9.  An analysis of Berkson's bias in case-control studies.

Authors:  A R Feinstein; S D Walter; R I Horwitz
Journal:  J Chronic Dis       Date:  1986

10.  Intention to treat--who should use ITT?

Authors:  J A Lewis; D Machin
Journal:  Br J Cancer       Date:  1993-10       Impact factor: 7.640

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  269 in total

1.  The role of metadata and strategies to detect and control temporal data bias in environmental monitoring of soil contamination.

Authors:  André Desaules
Journal:  Environ Monit Assess       Date:  2011-12-23       Impact factor: 2.513

2.  Statistics in brief: how to assess bias in clinical studies?

Authors:  Jerome Lambert
Journal:  Clin Orthop Relat Res       Date:  2011-06       Impact factor: 4.176

3.  Conflicts of interest in nutritional sciences: The forgotten bias in meta-analysis.

Authors:  Michel Lucas
Journal:  World J Methodol       Date:  2015-12-26

4.  Age-related variation in mobility independence among wheelchair users with spinal cord injury: A cross-sectional study.

Authors:  Timo Hinrichs; Veronika Lay; Ursina Arnet; Inge Eriks-Hoogland; Hans Georg Koch; Taina Rantanen; Jan D Reinhardt; Martin W G Brinkhof
Journal:  J Spinal Cord Med       Date:  2016-03-08       Impact factor: 1.985

5.  Understanding and minimizing epidemiologic bias in public health research.

Authors:  Bernard C K Choi; Anita W P Pak
Journal:  Can J Public Health       Date:  2005 Jul-Aug

Review 6.  The Healthy Worker Survivor Effect: Target Parameters and Target Populations.

Authors:  Daniel M Brown; Sally Picciotto; Sadie Costello; Andreas M Neophytou; Monika A Izano; Jacqueline M Ferguson; Ellen A Eisen
Journal:  Curr Environ Health Rep       Date:  2017-09

Review 7.  Clinical research methodology I: introduction to randomized trials.

Authors:  Lillian S Kao; Jon E Tyson; Martin L Blakely; Kevin P Lally
Journal:  J Am Coll Surg       Date:  2008-02       Impact factor: 6.113

Review 8.  Inconsistency in the items included in tools used in general health research and physical therapy to evaluate the methodological quality of randomized controlled trials: a descriptive analysis.

Authors:  Susan Armijo-Olivo; Jorge Fuentes; Maria Ospina; Humam Saltaji; Lisa Hartling
Journal:  BMC Med Res Methodol       Date:  2013-09-17       Impact factor: 4.615

9.  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

Review 10.  Diet, nutrition, and cancer: past, present and future.

Authors:  Susan T Mayne; Mary C Playdon; Cheryl L Rock
Journal:  Nat Rev Clin Oncol       Date:  2016-03-08       Impact factor: 66.675

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