Biostatistics
Autumn semester 2016
General information
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 |