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Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography
Author(s) -
Saskia C. Sanderson,
ID Tatt,
Julian P. T. Higgins
Publication year - 2007
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dym018
Subject(s) - observational study , strengthening the reporting of observational studies in epidemiology , data extraction , critical appraisal , confounding , selection bias , clinical study design , epidemiology , systematic review , computer science , medline , publication bias , quality (philosophy) , information bias , weighting , data science , statistics , medicine , meta analysis , clinical trial , mathematics , alternative medicine , pathology , political science , law , radiology , philosophy , epistemology
Assessing quality and susceptibility to bias is essential when interpreting primary research and conducting systematic reviews and meta-analyses. Tools for assessing quality in clinical trials are well-described but much less attention has been given to similar tools for observational epidemiological studies.

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