BIOS5001 Introduction to Biostatistics

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