Literature DB >> 1420512

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

G Steineck1, A Ahlbom.   

Abstract

We propose a definition of bias founded on the concept of the study base. The definition is unrelated to the study design, thereby permitting a clear comparison of validity among different study types. Also, it facilitates assessment of bias because it allows bias to be subdivided under mutually exclusive categories. In relation to the study base, the epidemiologic study can be viewed as involving three distinct steps. First, the person-time (study base) is specified for the study. Second, the investigators collect data on disease events and person-time among the exposed and unexposed from the study base. Third, they calculate an estimate of the effect of the exposure using the data. Categories pertaining to each of these three steps will create mutually exclusive categories of bias. We suggest the following terminology: the first step generates confounding, the second results in misclassification and misrepresentation, and the third produces analysis deviation. The total bias is the sum of the confounding, misclassification, misrepresentation, and analysis deviation. We illustrate our proposed epidemiologic theory with examples from various biological settings.

Entities:  

Mesh:

Year:  1992        PMID: 1420512     DOI: 10.1097/00001648-199211000-00003

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


  4 in total

1.  Bias.

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

2.  Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done?

Authors:  M L Thompson; J E Myers; D Kriebel
Journal:  Occup Environ Med       Date:  1998-04       Impact factor: 4.402

Review 3.  Methodologic issues in injury case-control studies.

Authors:  I Roberts
Journal:  Inj Prev       Date:  1995-03       Impact factor: 2.399

Review 4.  Options in dairy data management.

Authors:  W G Etherington; M L Kinsel; W E Marsh
Journal:  Can Vet J       Date:  1995-01       Impact factor: 1.008

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.