Topics in Biostatistics and Data Science in Public Health
Spring 2024
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3Mode
FlexComponent
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Instructors
Jing Qian, Chi Hyun Lee, Raji Balasubramanian, Nicholas Reich, Leontine Alkema, Zhengqing OuyangDescription
The course introduces advanced central topics in biostatistics and health data science including survival analysis, design and analysis of clinical trials, models for correlated data, bayesian modeling, and causal inference. The course motivates statistical reasoning and methods through substantive research questions and features of data typically available in public health and biomedical research. Students will obtain hands-on experience in applying selected methods on real data using the statistical programming language R.
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This course is a UMass Flex course where instruction is delivered across different modalities (https://www.umass.edu/flex/students). Students have the option to attend either in-person (at the Amherst campus) or online. If you choose to attend class virtually, you are required to join the Zoom meeting synchronously.
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For complete and up-to-date class details, meeting times, and textbook information, search for this class in Spire." Select the class term "Spring 2024 " and subject "Biostatistics " and enter the class number "11073 ".
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