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Data Management and Analysis

This resource, created by Dr. Stephen McCurdy from UC Davis School of Medicine, focuses on the essentials of data management and analysis specific to public health sciences. It includes a comprehensive data dictionary that outlines key variables, their types (continuous and categorical), permissible values, and logic checks. This structured approach helps ensure the integrity and usability of scientific hygiene data, facilitating better research outcomes and public health decision-making.

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Data Management and Analysis

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    1. Data Management and Analysis Stephen McCurdy, M.D., M.P.H. Department of Public Health Sciences U.C. Davis School of Medicine

    2. DATA MGT & ANALYSIS Scientific Hygiene Data dictionary Variable name (recognizable) Variable type (contin., categorical) Permissible values Logic checks

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