General description

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

Evaluation

Numeric 1-5.

Recommended year of study

2. year autumn
2. year spring
3. year autumn
3. year spring

Study materials

1. Hosmer, D. W., Lemeshow, S., Applied Logistic Regression. Wiley 2000.
2. Collet, D., Modelling Binary Data. Chapman&Hall/ CRC 1999.

Belongs to following study modules