This course covers the theory and application of key principles and methods of epidemiologic research in depth. The topics include causal models, confounding, randomization, interaction, statistical analysis and inference, and causal inference. Special emphasis is given to the meaning and interpretation of p-values, confidence intervals, and likelihoods. Alternative approaches are identified for selecting and interpreting measures of disease frequency and measures of effect. Guidance is offered for determining objectives and strategies in study design and analysis, especially for case-control research. Methods are presented for the assessment and control of confounding, misclassification bias, and selection bias. Strengths and weaknesses of standardization, pooling, modeling, and exposure-response analysis are reviewed.

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.