Coursebooks 2017-2018

PDF
 

Applied biostatistics

MATH-474

Lecturer(s) :

Goldstein Darlene

Language:

English

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.

Content

Evaluation is based on written reports of biostatistical data analyses.

Keywords

Data analysis, reproducible research, statistical methods, R, biostatistical data analysis, statistical data analysis

Learning Prerequisites

Required courses

This course will be very difficult for students with no previous course or experience with statistics. Previous experience with R is neither assumed nor required.

Recommended courses

Undergraduate statistics course

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Lectures and practical exercises using R.

Expected student activities

Students are expected to participate in their learning by attending lectures and practical exercise sessions, posing questions, proposing topics of interest, peer reviewing of preliminary reports, and interacting with teaching staff regarding their understanding of course material.

Assessment methods

Evaluation is based on written reports of biostatistical data analyses.

Dans le cas de l'art. 3 al. 5 du Règlement de section, l'enseignant décide de la forme de l'examen qu'il communique aux étudiants concernés.

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German