Graduate Prerequisites: SPH EP854 and SAS at the level of SPH BS805 - This course covers a novel approach to dealing with systematic error in epidemiologic research called quantitative bias analysis. Quantitative bias analysis allows users account for sources of systematic error analytically rather than through speculation on the impact. Quantitative bias analysis allows users to make adjustments to measures of effect for confounding, information bias and selection bias by making assumptions (informed by data typically using validation studies) about the nature of the bias to bias-adjusted point estimates and create uncertainty intervals that account for total study error. The course will cover three types of bias analysis: simple, multidimensional and probabilistic. Exercises in Excel and SAS/R will allow students to practice the methods, adapt them to problems they face and present the results clearly.

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