Application deadline

PhD students and students at the Student Research Program at UiT - The Arctic University of Norway go directly to Studentweb to register for class and exam. Deadline for registration is February 1st.

External applicants: Application deadline is December 1st. Application code 9303 in Søknadsweb.

If granted admission to the course you have to register for class and exam in Studentweb by February 1st.

Type of course

Admission requirements

PhD students, students at a Student Research Program or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted.

PhD students not admitted to UiT The Arctic University of Norway must upload a document from their university stating that there are registered PhD students. This group of applicants does not have to prove English proficiency and are exempt from semester fee.

Holders of a Master´s degree must upload a Master´s Diploma with Diploma Supplement / English translation of the diploma. Applicants from listed countries must document proficiency in English.

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

• 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 The exam consists of a written assignment to be submitted 14 days after the assignment is distributed. Evaluated with pass / fail.

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

Recommended reading/syllabus

The curriculums in the course are the compendium that largely are lecture notes. However, you will find out more about the methods and SPSS / STATA in the books and articles below.

Books:

SPSS (not survival analysis): Field A: Discovering Statistics Using SPSS.

SPSS (include survival analysis): Norusis MJ: PASW Statistics 18 Advanced Statistical Procedures (earlier version SPSS 16.0 Advanced Statistical Procedures Companion).

STATA: S. Juul: An Introduction to Stata for Health Researchers

DG Kleinbaum: Survival Analysis. A Self-Learning Text: Kap 1-5.

Kleinbaum, Kupper, Muller, Nizam: Applied Regression Analysis and Multivariate Methods: (mainly for HEL-8001 but includes a chapter on logistic regression)

DG Kleinbaum: Logistic Regression. A Self-Learning Text: Kap. 1, 2, 6.I-6.III, 8.I, 8.II, 8.IV.