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This textual content material provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader by means of the planning ranges of bias analysis, along with the design of validation analysis and the gathering of validity data from totally different sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and quite a few bias analysis. The textual content material concludes with a chapter on presentation and interpretation of bias analysis outcomes.
Although strategies for bias analysis have been obtainable for many years, these methods are thought-about troublesome to implement. This textual content material not solely gathers the methods into one cohesive and organized presentation, it moreover explains the methods in a continuing type and provides customizable spreadsheets to implement the choices. By downloading the spreadsheets (on the market at hyperlinks provided inside the textual content material), readers can adjust to the examples inside the textual content material and then modify the spreadsheet to full their very personal bias analyses. Readers with out experience using quantitative bias analysis could be able to design, implement, and understand bias analyses that address the important thing threats to the validity of epidemiologic evaluation. Additional expert analysts will well worth the compilation of bias analysis methods and hyperlinks to software tools that facilitate their duties.
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