Application deadline

Admission requirements

Admission recommendations:

Introductory course in medical statistics. It is recommended that students who are planning to take HEL-8012 complete it before taking this course.

Course content

• Simple, multiple and stepwise logistic regression, matched case-control studies, and ordinal logistic regression
• Methods for analysis of survival data. Includes the Kaplan-Meier survival estimator, the log rank test, and Cox's Proportional Hazard regression model.

Objectives of the course

• Analyze data using logistic regression models and models for the analysis of survival data (included Kaplan-Meier survival function, log rank test, and Cox proportional hazard regression).
• Identify different types of explanatory variables and correctly implement them in a logistic or Cox regression model.
• Interpret the results from logistic or Cox regression models.
• Assess interaction and confounding.
• Evaluate the model assumptions.
• Evaluate results from publications in medical journals where logistic or Cox regression models are applied, and critically assess the validity of its use.

Language of instruction and examination

Teaching methods

Assessment

Exam and evaluation
Written assignment to be submitted. Evaluated with pass / fail.

Continuation exam
The course is held annually, no continuation exam.

Recommended reading/syllabus

The main literature is printed in a compendium. All content in the lectures and group exercises are part of the curriculum.

Current literature: David W. Hosmer, Applied Logistic Regression; David G. Kleinbaum, Survival Analysis and David G. Kleinbaum, Logistic Regression