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Literature DB >> 19141660

Creating a demand for bias analysis in epidemiological research.

Matthew P Fox¹.

Abstract

Mesh：

Year: 2009 PMID： 19141660 DOI： 10.1136/jech.2008.082420

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

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Cited

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11 in total

Review 1. Epidemiologic analyses with error-prone exposures: review of current practice and recommendations.

Authors: Pamela A Shaw; Veronika Deffner; Ruth H Keogh; Janet A Tooze; Kevin W Dodd; Helmut Küchenhoff; Victor Kipnis; Laurence S Freedman
Journal: Ann Epidemiol Date: 2018-09-18 Impact factor: 3.797

2. Potential sensitivity of bias analysis results to incorrect assumptions of nondifferential or differential binary exposure misclassification.

Authors: Candice Y Johnson; W Dana Flanders; Matthew J Strickland; Margaret A Honein; Penelope P Howards
Journal: Epidemiology Date: 2014-11 Impact factor: 4.822

3. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics.

Authors: Pamela A Shaw; Paul Gustafson; Raymond J Carroll; Veronika Deffner; Kevin W Dodd; Ruth H Keogh; Victor Kipnis; Janet A Tooze; Michael P Wallace; Helmut Küchenhoff; Laurence S Freedman
Journal: Stat Med Date: 2020-04-03 Impact factor: 2.373

4. Correcting for exposure misclassification using survival analysis with a time-varying exposure.

Authors: Katherine Ahrens; Timothy L Lash; Carol Louik; Allen A Mitchell; Martha M Werler
Journal: Ann Epidemiol Date: 2012-10-05 Impact factor: 3.797

5. Stratified Probabilistic Bias Analysis for Body Mass Index-related Exposure Misclassification in Postmenopausal Women.

Authors: Hailey R Banack; Andrew Stokes; Matthew P Fox; Kathleen M Hovey; Elizabeth M Cespedes Feliciano; Erin S LeBlanc; Chloe Bird; Bette J Caan; Candyce H Kroenke; Matthew A Allison; Scott B Going; Linda Snetselaar; Ting-Yuan David Cheng; Rowan T Chlebowski; Marcia L Stefanick; Michael J LaMonte; Jean Wactawski-Wende
Journal: Epidemiology Date: 2018-09 Impact factor: 4.822

Creating a demand for bias analysis in epidemiological research.

Review 1. Epidemiologic analyses with error-prone exposures: review of current practice and recommendations.

2. Potential sensitivity of bias analysis results to incorrect assumptions of nondifferential or differential binary exposure misclassification.

3. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics.

4. Correcting for exposure misclassification using survival analysis with a time-varying exposure.

5. Stratified Probabilistic Bias Analysis for Body Mass Index-related Exposure Misclassification in Postmenopausal Women.

6. Specifying exposure classification parameters for sensitivity analysis: family breast cancer history.

7. A proposed method of bias adjustment for meta-analyses of published observational studies.

8. Validation of Questionnaire-based Case Definitions for Chronic Obstructive Pulmonary Disease.

9. Multiple-bias analysis as a technique to address systematic error in measures of abortion-related mortality.

10. Using natural experiments to evaluate population health interventions: new Medical Research Council guidance.