Biostatistics

Autumn semester 2016

General information

Lecturer Beate Sick Nicolas Bennett, Shu Li Tue 10-12 HG E 21 >> Tue 16-17 NO C 60 >> on 20.09: HG E 19 >> >>

Course content

The course deals with simple quantitative and graphical as well as more complex methods of biostatistics. Contents: Descriptive statistics, probability theory and design of experiments, testing hypotheses, confidence intervals, correlation, simple and multiple linear regression, classification and prediction, diagnostic tests, measurement of agreement.

Announcements

• September 15th, 2016:
Beginning of lecture: Monday, 20/09/2016.
• September 15th, 2016:
Exercises start on 20/09/2016 at 16:15 in computer room HG E 19, with a special introduction to the "R" software. If you have a laptop, feel free to bring it along that you can set up R and use it on your own device.
• December 6th, 2016:
The exam will take place on December 13th, at HG E 3, from 10:15 to 11:00. You are allowed to bring:
- a pocket calculator without means of communication
- a handwritten summary of at most 2 pages on a single sheet of A4 paper

Course materials

Lecture Topic In-class Exercises Slides Literature
Week 1 (20.09.16) Introduction, basic terms, datatypes, uni-variate graphical displays Sol 1 Introduction Intro to R
Week 2 (27.09.16) Summary statistics, boxplot, bi-variate graphical displays Ex 2, Sol 2 Data visualization Graphical displays
Week 3 (04.10.16) Zoo of distributions, simple inference, estimates, standard error, confidence interval Ex 3, Sol 3 Distributions Distributions in R
Week 4 (11.10.16) Statistical tests for a continuous variable: t-test, Wilcoxon test Ex 4, Sol 4 Tests Simple inference
Week 5 (18.10.16) Sample size calculation, multiple testing Ex 5, Sol 5 Tests II See week 4
Week 6 (25.10.16) Relative Risk, Odds Ratio, study types, independence test for a categorical variables: Chi-square, Fischer exact test Ex 6, Sol 6 Studies
Week 7 (01.11.16) Diagnostic tests, sensitivity, specificity, predictive value, ROC-curves Ex 7, Sol 7 Sensitivity/Specificity
Week 8 (08.11.16) Correlation, simple linear regression Ex 8, Sol 8 Correlation/simple OLS Linear regression
Week 9 (15.11.16) Multiple linear regression Ex 9-1, Ex 9-1, Sol 9-1 Simple/multiple OLS See week 8
Week 10 (22.11.16) ANOVA vs linear regression, model selection, warnings and limitations, start logistic regression Ex 10, Sol 10 ANOVA
Week 11 (29.11.16) Logistic regression continued, propensity matching Ex 11, Sol 11 Logistic regression Logistic regression
Week 12 (06.12.16) Tree models and random forest Ex 12, Sol 12 Classification Tree models
Week 13 (13.12.16) Exam
Week 14 (20.12.16) Survival analysis Ex 14 Measurement variability & random forest

Exercise classes

Exercises will be based on the free open-source statistics and graphics software R. It can be downloaded from the ETH CRAN mirror for Mac, Linux or Windows. During the first exercise lesson there will be an introduction to the statistical software R.

Exercises Solutions Date
Introduction Exercise 1 Solutions 1 September 20, 2016
Exercise 2 Solutions 2 September 27, 2016
Exercise 3 Solutions 3 October 4, 2016
Exercise 4 Solutions 4 October 11, 2016
Exercise 5 Solutions 5 October 18, 2016
Exercise 6 Solutions 6 October 25, 2016
Exercise 7 Solutions 7 November 1, 2016
Exercise 8 Solutions 8 November 8, 2016
Exercise 9 Solutions 9 November 15, 2016
Exercise 10 Solutions 10 November 22, 2016
Exercise 11 Solutions 11 November 29, 2016
Exercise 12 December 6, 2016