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A new Scientific Publication from the International Agency for Research on Cancer (IARC) summarizes practical methods that can be used to assess the potential impact of confounding, information bias, or selection bias on the results of an epidemiological study. The publication, Bias Assessment in Case–Control and Cohort Studies for Hazard Identification (Volume V in the IARC Statistical Methods in Cancer Research series), presents these methods in a way that is accessible to epidemiologists and other research workers who do not have extensive statistical training, as well as to statisticians who do not have extensive epidemiological training.
Concepts are illustrated with numerous practical examples, taken from cancer epidemiology, as well as links to online code or spreadsheets. The book also outlines the process for integrating these bias assessments into the evidence synthesis. The process that is outlined uses the wide array of methods described in the book to consider all informative studies.
This Scientific Publication was supported by a scientific workshop on epidemiological bias assessment in hazard identification with 37 scientists from 12 countries convened by the IARC Monographs Programme and funded in part by the United States National Cancer Institute. The scientific workshop was held as part of the celebrations for the 50th anniversary of the IARC Monographs.
Berrington de González A, Richardson DB, Schubauer-Berigan MK, editors.
Bias Assessment in Case–Control and Cohort Studies for Hazard Identification (Statistical Methods in Cancer Research, Volume V)
IARC Scientific Publication No. 171
See Bias Assessment in Case–Control and Cohort Studies for Hazard Identification (Statistical Methods in Cancer Research, Volume V)
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