PUBH7406
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PUBH 7406 - Biostatistical Inference II (3 Cr.)
Course description
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
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
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
000261
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring