PUBH 7406: Biostatistical Inference II

3 Credits

This course introduces students to a variety of concepts, tools, and techniques that are relevant to the rigorous design and analysis of complex biomedical studies. Topics include ANOVA, sample-size calculations, multiple testing, missing data, prediction, diagnostic testing, smoothing, variable selection, the bootstrap, and nonparametric tests. R software will be used. Biostatistics students are strongly encouraged to typeset their work using LaTeX or in R markdown. prereq: [7405, [STAT 5102 or concurrent registration is required (or allowed) in STAT 5102], biostatistics major] or instr consent

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A- Average (3.562)Most Common: A (48%)

This total also includes data from semesters with unknown instructors.

180 students
SWFDCBA
  • 4.62

    /5

    Recommend
  • 4.49

    /5

    Effort
  • 4.78

    /5

    Understanding
  • 4.53

    /5

    Interesting
  • 4.62

    /5

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