Literature DB >> 20407272

Selection bias and information bias in clinical research.

Giovanni Tripepi1, Kitty J Jager, Friedo W Dekker, Carmine Zoccali.   

Abstract

The internal validity of an epidemiological study can be affected by random error and systematic error. Random error reflects a problem of precision in assessing a given exposure-disease relationship and can be reduced by increasing the sample size. On the other hand, systematic error or bias reflects a problem of validity of the study and arises because of any error resulting from methods used by the investigator when recruiting individuals for the study, from factors affecting the study participation (selection bias) or from systematic distortions when collecting information about exposures and outcomes (information bias). Another important factor which may affect the internal validity of a clinical study is confounding. In this article, we focus on two categories of bias: selection bias and information bias. Confounding will be described in a future article of this series. Copyright 2010 S. Karger AG, Basel.

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Year:  2010        PMID: 20407272     DOI: 10.1159/000312871

Source DB:  PubMed          Journal:  Nephron Clin Pract        ISSN: 1660-2110


  71 in total

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Journal:  J Am Soc Nephrol       Date:  2015-12-23       Impact factor: 10.121

3.  Low reproducibility of randomized clinical trials methodology related to sampling: a systematic methodological review.

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4.  Cardiovascular risk factors' behavior during the early stages of the disease, in Hispanic rheumatoid arthritis patients: a cohort study.

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Journal:  Rheumatol Int       Date:  2019-10-12       Impact factor: 2.631

5.  Ventilator Weaning and Discontinuation Practices for Critically Ill Patients.

Authors:  Karen E A Burns; Leena Rizvi; Deborah J Cook; Gerald Lebovic; Peter Dodek; Jesús Villar; Arthur S Slutsky; Andrew Jones; Farhad N Kapadia; David J Gattas; Scott K Epstein; Paolo Pelosi; Kallirroi Kefala; Maureen O Meade
Journal:  JAMA       Date:  2021-03-23       Impact factor: 56.272

6.  Characterizing Enrollment in Observational Studies of Duchenne Muscular Dystrophy by Race and Ethnicity.

Authors:  Alison M Barnard; Samuel L Riehl; Rebecca J Willcocks; Glenn A Walter; Amber M Angell; Krista Vandenborne
Journal:  J Neuromuscul Dis       Date:  2020

7.  Evaluation of Nutritional Gel Supplementation in C57BL/6J Mice Infected with Mouse-Adapted Influenza A/PR/8/34 Virus.

Authors:  Jessica L Felgenhauer; Jourdan E Brune; Matthew E Long; Anne M Manicone; Mary Y Chang; Thea L Brabb; William A Altemeier; Charles W Frevert
Journal:  Comp Med       Date:  2020-12-01       Impact factor: 0.982

8.  Changes in measures of cognitive function in patients with end-stage kidney disease on dialysis and the effect of dialysis vintage: A longitudinal cohort study.

Authors:  Karumathil M Murali; Judy Mullan; Steven Roodenrys; Hicham I Cheikh Hassan; Maureen Lonergan
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Review 9.  Towards Solving Health Inequities: A Method to Identify Ideological Operation in Global Health Programs.

Authors:  Hani Kim; Uros Novakovic
Journal:  Int J Environ Res Public Health       Date:  2021-04-21       Impact factor: 3.390

10.  Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI.

Authors:  Haoxin Zheng; Qi Miao; Yongkai Liu; Steven S Raman; Fabien Scalzo; Kyunghyun Sung
Journal:  J Magn Reson Imaging       Date:  2021-06-23       Impact factor: 4.813

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