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Applying Quantitative Bias Analysis to Epidemiologic Data (Statistics for Biology and Health)

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Description

Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More up to date advances in bias analysis, such as probabilistic bias analysis, appear much more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. At the demand side, journal reviewers and editors seldom request that authors address systematic error excluding listing them as limitations of their particular study. This listing is regularly accompanied by explanations for why the limitations must not pose much concern. At the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are regularly scattered right through textbooks or absent from them altogether, and can’t be implemented easily the usage of standard statistical computing software. Our objective on this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.

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