episensr

R package episensr: Basic Sensitivity Analysis of Epidemiological Results. Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. ”Applying Quantitative Bias Analysis to Epidemiologic Data”, (’Springer’, 2009).

References in zbMATH (referenced in 2 articles )

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  1. Greenland, Sander: Book review of: T. L. Lash et al., Applying quantitative bias analysis to epidemiologic data (2010)
  2. Lash, Timothy L.; Fox, Matthew P.; Fink, Aliza K.: Applying quantitative bias analysis to epidemiologic data (2009)