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Manual Interpreting Epidemiologic Evidence: Strategies for Study Design and Analysis

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This new course will facilitate student understanding of the primary concepts and research strategies nee B.


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What is the need or demand for this course? Indicate if this course is part of a required sequence in the major. What other programs would this course service? This course will be a requirement for the MPH students in the Epidemiology concentration in the department of Epidemiology and Biostatistics.

Description

It is highly relevant to students in other Public Health concentrations as well as Medicine, Nursing and research related diciplines. If yes, how many times? List minimum qualifications for the instructor. Objectives 1. To describe and analyze concepts in epidemiologic research methodology such as: exposure and outcome assessments in cohort studies; classification of diseases and exposures; bias identification and minimizing.

Interpreting Epidemiologic Evidence: Strategies for Study De : Epidemiology

To provide in depth understanding of epidemiologic screening and surveillance systems and skills needed to evaluate and identify the strengths and limitations of epidemiological studies. To provide students the skills to describe the role of confounding in epidemelogic studies and the methods available to control for confounding. To demonstrate and model techniques to effectively evaluate and coommunicate study finding to various audiences.

Readers who are not familiar with epidemiology should thoroughly read the first two chapters. These chapters also include specific illustrative examples of 'efficacy of breast cancer screening', 'alcohol and spontaneous abortion' and 'dichlorodiphenyltrichloroethane exposure and breast cancer' for the ease of readers' understanding on the inferences from epidemiologic evidence.

The main reason to read this book exists in the five chapters on bias, confounding, and random error. In conclusion, this book is highly recommended to students and researchers who are involved in medical informatics but not familiar with epidemiology. For more understanding, "Bias and Causation" by Weisberg [ 2 ] or "Statistics for Epidemiology" by Jewell [ 3 ] may be helpful. National Center for Biotechnology Information , U.

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References 1. Savitz DA. Interpreting epidemiologic evidence: strategies for study design and analysis. Weisberg HI.

Bias and causation: models and judgment for valid comparisons. Hoboken, NJ: Wiley; Jewell NP.


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Statistics for epidemiology. Support Center Support Center. External link.

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