Logistic regression is a basic method for the regression analysis of data which includes categorical variables.
Learning outcomes
The course introduces among other subjects the estimation of logistic regression models, the interpretation of estimates, building a model and the evaluation of the suitability of the model. The use of the methods is illustrated and practised by applying research data and research frames.
Contents
See objectives.
Teaching language
Finnish
Modes of study
Evaluation
Numeric 1-5.
Recommended year of study
2. year autumn
2. year spring
3. year autumn
3. year spring
Study materials
Collet, D., Modelling binary data. Chapman & Hall/ CRC 1999.
Hosmer, D. W., Lemeshow, S., Applied logistic regression. Wiley 2000.