Literature DB >> 23036443

Bias in clinical epidemiological study designs.

F Rivas-Ruiz1, S Pérez-Vicente2, A R González-Ramírez3.   

Abstract

Systematic error, or bias, is error that occurs in each measurement made and which has a direction, i.e., the measured value is always either greater or smaller than the true value. The presence of systematic error directly affects the internal validity of the study, and indirectly affects the external validity of the results obtained. In general, such error can be classified as selection bias, classification bias or confounding bias. It is essential to deal with possible bias in the research design phase, since only confounding bias can be controlled in the phase corresponding to analysis of the results.
Copyright © 2012 SEICAP. Published by Elsevier Espana. All rights reserved.

Keywords:  Bias; Classification; Confounding; Designs; Error; Selection

Mesh:

Year:  2012        PMID: 23036443     DOI: 10.1016/j.aller.2012.04.005

Source DB:  PubMed          Journal:  Allergol Immunopathol (Madr)        ISSN: 0301-0546            Impact factor:   1.667


  1 in total

1.  Prevalence of frailty among community-dwelling elderly persons in Spain and factors associated with it.

Authors:  Francisco Rivas-Ruiz; Mónica Machón; Eugenio Contreras-Fernández; Kalliopi Vrotsou; María Padilla-Ruiz; Ana Isabel Díez Ruiz; Yolanda de Mesa Berenguer; Itziar Vergara
Journal:  Eur J Gen Pract       Date:  2019-10-22       Impact factor: 1.904

  1 in total

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