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Biostatistics for Epidemiology and Public Health Using R Bertram Chan
Publisher: Springer Publishing Company

Learning Objectives: Demonstrate how to effectively display public health data visually using R. Computational examples will be illustrated using R and WinBUGS. Statistical Methods for Environmental Epidemiology with R Roger D. (BxC) package for epidemiology from which we will use a few handy functions. Epitools - R package for epidemiologic computing and graphics. The supplemental resources for Biostatistics for Epidemiology and Public Health Using R are not available at this time. Peng is an Assistant Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. CDC Wonder - Public health information system. BST 610 STATISTICAL CONSULTING (4 cr) This course gives students exposure to issues arising in biostatistics consulting and collaboration. In this session, participants will use R studio to explore and summarize data, calculate descriptive statistics and create and export tables using hands-on exercises and partially filled scripts. Public Health Sciences Course Descriptions. Course Goals: The overall goal of the course is to provide students with a set of new data analysis tools for Epidemiology using R. University of effect of data and prior variance using beta probability functions in R. Department of Biostatistics, Institute of Public Health,.