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  Inclass Exercises  Slides  Literature 

Week 1 (20.09.16)  Introduction, basic terms, datatypes, univariate graphical displays  Sol 1  Introduction  Intro to R 
Week 2 (27.09.16)  Summary statistics, boxplot, bivariate 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: ttest, 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: Chisquare, Fischer exact test  Ex 6, Sol 6  Studies  
Week 7 (01.11.16)  Diagnostic tests, sensitivity, specificity, predictive value, ROCcurves  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 91, Ex 91, Sol 91  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 opensource 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 