spring 2024
HEL-8002 Logistic Regression and Statistical Analysis of Survival Data - 3 ECTS
Admission requirements
PhD students and students at the Student Research Programme, or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. External PhD students and students at other Student Research Programmes, must upload a document from their university stating that they are registered students.
Admission recommendations:
Introductory course in medical statistics. It is recommended that students who are planning to take HEL-8024 complete it before taking this course.
Course content
Two main topics are covered:
- 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
Having attended the course and completed the exam the students will obtain the following learning outcomes:
Knowledge and understanding:
- Know how to specify a logistic regression model and a Cox proportional hazard regression model.
- Understand the difference between binary and ordinal logistic regression models.
- Understand when it is proper to use a logistic regression model.
- Understand when it is proper to use analysis of survival data.
- Interpret results from logistic regression models and analysis of survival data (Kaplan-Meier survival estimate, Cox regression models)
Skills:
- Be able to use a statistical package to analyse data using logistic regression models and models for the analysis of survival data (Kaplan-Meier survival function, log rank test, and Cox proportional hazard regression model).
- Identify different types of explanatory variables and correctly implement them in a logistic or Cox regression model.
- Be able to test interaction and assess confounding in logistic and Cox regression models.
- Evaluate the model assumptions
General Competence:
- Evaluate results from publications in medical journals where logistic models or Cox regression models are applied.
- Critically assess the validity of its use.
Teaching methods
The course consists of lectures, student exercises with the use of a statistical package and review of exercises. The course uses STATA software to demonstrate implementation and solution of exercises. For those who prefer other programs, solution syntax in SPSS, R or SAS will be provided upon request.Schedule
Examination
Examination: | Date: | Grade scale: |
---|---|---|
Off campus exam | 26.04.2024 17:00 (Hand out) 10.05.2024 14:00 (Hand in) |
Passed / Not Passed |
Coursework requirements:To take an examination, the student must have passed the following coursework requirements: |
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Attendance to lectures and seminars | Approved – not approved |
- About the course
- Campus: Tromsø |
- ECTS: 3
- Course code: HEL-8002
- Responsible unit
- Department of Community Medicine