Graduate School of health and Medical Sciences

Advanced statistical analysis of epidemiological studies 2017
Provider: Faculty of Health and Medical Sciences

Activity no.: 3306-17-00-00
	Enrollment deadline: 02/10/2017

Date and time	27.10.2017, at: 08:00 - 01.12.2017, at: 15:00
Regular seats	25
Course fee	4,080.00 kr.
Lecturers	Per Kragh Andersen
ECTS credits	4.20

Contact person	Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School). Special rules apply for research year students enrolled at Faculty of Health and Medical Sciences at UCPH. All other participants must pay the course fee. Course title Advanced statistical analysis of epidemiological studies. Aim and learning objectives The course builds on the Ph.D.-course in epidemiology. The purpose is to give an introduction to more advanced statistical methods frequently applied in epidemiological studies. After completing the course the participants will: • be able to analyse data from classical cohort studies using Poisson or Cox regression and data from case-control studies using ordinary or conditional logistic regression • know about the advantages of using cohort data sampled as a nested case-control study or a case-cohort study • know about methods for analysing clustered data • know about methods to account for competing risks in follow-up studies • know about the basic concepts for causal inference Content Repetition of logistic regression, Poisson regression, and Cox regression. Time-dependent exposure variables. Conditional logistic regression for matched case-control studies. Alternative designs of cohort studies: Nested case-control- and case-cohort studies. Analysis of correlated data. Longitudinal studies. Competing risks. Recurrent events. Introduction to causal inference. Textbook: D. Clayton & M. Hills (1993). Statistical Models in Epidemiology. Oxford Univ. Press and supplementary material. Participants Ph.D.-students with a background corresponding to the course “epidemiology” held every Spring. Max. 25 participants. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: ALL GRADUATE PROGRAMMES Language Danish or English. Form 6 full days of lectures and computer exercises using primarily SAS though participants who wish to use the R or STATA software are free to do so. Participants must bring a laptop with the desired software installed. Course director Professor Per Kragh Andersen Teachers Members of the staff of Department of Biostatistics and external teachers. Course secretary Susanne Kragskov Laupstad, Department of Biostatistics, e-mail: skl@sund.ku.dk Dates Fridays 27 October, 3, 10, 17, 24 November and 1 December 2017, all days 8-15. Course location CSS Registration: Please register before 2 October 2017 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Formel requirements You must have taken the course in epidemiology. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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