Lars Lindhagen

Department of Statistics

Week 40 (September 28 - October 2) + October 9 and 16

Ekonomikum

1 week full time + 2 weeks half-time (project work)

The aim of the course is to broaden and deepen the knowledge provided by the compulsory introductory biostatistics course. The course is primarily directed towards students with clinical projects, but can be relevant also for other students. Several topics are covered, with a focus on understanding notions and methods. After one week of full-time teaching, the students spend two weeks half-time work on a project work.

After the course, the participants are expected to: Have a basic understanding of the mathematical foundations of statistics. Be familiar with advanced statistical methods often used in clinical research: survival analysis, propensity score methods, prediction models, handling of missing data, clustered data, and ordinal outcomes, methods for genetic data. Have a basic knowledge of causality and definitions of treatment effects. Be able to critically discuss clinical research results from a method perspective. Be familiar with the principles of statistical analyses in R.

Maximum likelihood and the bootstrap. Propensity scores. Methods for clustered data, ordinal and survival outcomes. Multiplicity. Prediction models. Treatment effects. Handling of missing data. Statistical genetics. Register data. Agreement.

The language of this course is ENGLISH.

In order to be eligible for the course, you need to be admitted to third-cycle education in the Disciplinary Domain of Medicine and Pharmacy, and have statistics knowledge corresponding to the introductory course in biostatistics. Basic knowledge about R can be useful, but is no formal requirement.

Attendance at ALL scheduled activities, quiz, and a written and orally presented project work.

Current scholarly articles as specifically directed.

Lars Lindhagen
Albert Nilsson
Henrik Renlund
Inger Persson
Johan Lindbäck
Johan Westerbergh
Niclas Eriksson
Ollie Östlund
Tatevik Lakic

Lars Lindhagen
Uppsala Clinical Research Center (UCR)
Uppsala Science Park
751 85 Uppsala
Tel 018-611 9549
E-mail: lars.lindhagen@ucr.uu.se