This course introduces basic statistical concepts and methods. The emphasis of the course is on practical applications: choosing the correct method for particular datasets and correct interpretation of the analysis results. Examples from different disciplines of public health including chronic and infectious disease epidemiology, environmental health, and health policy will be used to illustrate the use of biostatistical methods in answering important public health questions.
| WK | Topic | Teaching format | Duration |
| 1 | Types of data, Central Tendency and Dispersion Statistics/ Graphical Presentation and Exploration of Data |
LT | 3h |
| 2 | Probability Probability distributions – Normal, binomial |
LT | 3h |
| 3 | Sampling Distributions Confidence Intervals |
LT | 3h |
| 4 | Tutorial Lesson
Computing Lesson |
Clab | 1h30min
1h30min |
| 5 | Hypothesis testing I – concepts Hypothesis testing II – t-tests |
LT | 3h |
| 6 | Hypothesis testing III – chi-square tests, trend test, Fisher’s exact test, log-rank test Hypothesis testing IV – type I and II errors, sample size planning, power |
LT | 3h |
| 7 | One-way ANOVA and multiple comparisons Nonparametric tests – Wilcoxon signed rank, Mann- Whitney, Kruskal-Wallis |
LT | 3h |
| 8 | Tutorial Lesson
Computing Lesson |
Clab | 1h30min
1h30min |
| 9 | Correlation Simple Linear Regression |
LT | 3h |
| 10 | Multiple Linear Regression | LT | 3h |
| 11 | Logistic Regression | LT | 3h |
| 12 | Tutorial Lesson
Computing Lesson |
Clab | 1h30min
1h30min |
| 13 | Survival Analysis – Cox proportional hazards regression | LT | 3h |
| 14 | Examination | Exam | 2h |