Course

MATH-493: Applied biostatistics

Summary

This course covers topics in applied biostatistics, with an emphasis on practical aspects of data analysis using R statistical software. Topics include types of studies and their design and analysis, high dimensional data analysis (genetic/genomic) and other topics as time and interest permit.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/applied-biostatistics-MATH-493

Moodle Page

http://go.epfl.ch/MATH-493

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/applied-biostatistics-MATH-493

Moodle Page

http://go.epfl.ch/MATH-493

About this result

Lectures in this course (17)

Reproducible Research: Principles and Tools

Covers the principles and tools for reproducible research in biostatistics, emphasizing the importance of complete documentation and the use of text editors for compiling source documents.

Bivariate Data Analysis: Correlation and Regression

Explores bivariate data analysis, correlation, and regression techniques for model assessment.

Regression Analysis: Model Selection and Diagnostic Tools

Explores regression analysis tools, model selection, influential points, outliers, and diagnostic plots.

Experimental Design in Biostatistics

Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.

Model Formulas in R: Basics and Applications

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

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