Biostatistics II

This course is a mandatory course for students at the Master's degree programme in Public Health. Course students may be admitted if total number of students do not exceed the regulated 30 number of students at the course.

The course will focus on four different methods (analysis of variance including repeated measurements, regression analysis, logistic regression analysis and survival analysis); using SPSS

The course will teach the students statistical methods of analysis commonly used in clinical and epidemiological research. The students shall be able to:

Knowledge and understanding

- Analyse data using the methods multivariable linear regression, logistic regression, and analysis of survival data

Skills and competences

• Prepare a set of raw data for statistical analysis
• Provide relevant descriptive statistics corresponding to the selected model of analysis
• Identify different types of explanatory variables and correctly implement them in a regression model
• Select the correct analysis method to study the relationship between one or more explanatory variables on one response variable

General Proficiency

• Master commonly used regression analyses methods in clinical and epidemiological research
• Differentiate between the effect sizes from the various regression models and interpret the results
• Evaluate the model assumptions of the regression models
• Evaluate results from publications in journals where the different regression models are applied, and critically assess the validity of its use.

Anbefalte forkunnskaper

HEL-3006 Introduction to Epidemiology and Biostatistics

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

• STA-1002 Probability and statistics 2 2.5 ects
• STA-3300 Applied Statistics 2 2.5 ects
• MED-8001 Analysis of variance including repeated measurements 1 ects
• MED-8001 Analysis of variance including repeated measurements 2.5 ects
• MED-8002 Statistical analysis of survival data 2.5 ects
• MED-8002 Statistical analysis of survival data 1 ects
• MED-8003 Regression analysis 1 ects
• MED-8003 Regression analysis 2.5 ects
• MED-8004 Logistic regression 2.5 ects
• MED-8004 Logistic regression 1 ects
• HEL-3070 Biostatistics 10 ects
• HEL-3624 Biostatistics 10 ects
• STA-2004 Statistical Methods 2.5 ects

Language of instruction and examination

More info about the coursework requirements

80% attendance on lectures and seminars is mandatory.

The students are required to hand in 2 home assignments in Canvas. One after the first gathering and the last one after second gathering.

Re-sit examination