Course material

On this page you’ll find a list of material used in this course.

For the exercises and lab notes we use during the lab sessions, please check the R Lab and Code.

Week 1

Time	Topic	Lecture notes	Lab
April 24 PM	Course introduction	Slides
	Descriptive statistics	Slides, K&S chapter 2-4, Aalen chapter 1-2	Paper 1, Paper 2, Paper 3
April 25 AM	Introduction to R and Rstudio	Slides	Intro to RStudio, Intro to R
	Lab session	Slides	Descriptive statistics (EDA I)
April 25 PM	Probability, diagnosistic tests	Intro slides Probability Diagnostic tests
	Statistical distributions	Distributions
April 26 AM	Lab session		COVID-19 tests, Simulations
April 26 PM	Statistical inference, confidence intervals, t-test	Overview, Sample mean, Confidence interval, Hypothesis testing
April 27 AM	Lab session	Slides	t-test
April 27 PM	Categorical data, proportions, table analysis	Overview, Proportions, Compare proportions, Table analysis
April 28 AM	Lab session	Slides	Categorical data analysis

Week 2

Time	Topic	Lecture notes	Lab
May 8 AM	Exploratory data analysis (part II)	Lecture	EDA II
	Non-parametric methods	Lecture	Non-parametric tests
May 8 PM	Sample size, statistical power	Lecture	Exercises
May 9 AM	Study design, principles of clinical trials	Lecture
May 9 PM	Linear regression I	Lecture	Linear regression I
May 10 AM	Linear regression II	Lecture	Linear regression II
May 10 PM	Linear regression III	Lecture Shmueli_2019_extract.pdf	Linear regression III
May 11 AM	Logistic regression	Lecture	Logistic regression
May 11 PM	Survival analysis	Survival, Summary	Survival analysis