Graduate School of health and Medical Sciences

Regression models
Provider: Faculty of Health and Medical Sciences

Activity no.: 3318-17-00-00
	Enrollment deadline: 27/03/2017

Date and time	24.04.2017, at: 00:00 - 22.05.2017, at: 16:00
Regular seats	26
Course fee	5,520.00 kr.
Lecturers	Per Kragh Andersen
ECTS credits	5.60

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 Regression models. Aim and learning objectives The course will be based on the book “Regression with linear predictors” by Per Kragh Andersen and Lene Theil Skovgaard published by Springer-Verlag. It builds on the “Basic Statistics” course. After completing the course the participants will: • know how basic statistical methods like the t-test, analysis of 2 by 2 contingency tables and the logrank test for survival data can all be seen as special cases of regression models • be able to analyse regression models with categorical and quantitative covariates and for both quantitative, binary and survival time outcomes • be able to examine model assumptions about interactions and linear effects of quantitative covariates • know about strategies for building regression models Content The course will deal with both linear regression for quantitative responses, logistic regression for binary responses and Cox regression for survival time responses. It discusses two- and several-sample problems for all three types of outcome (the t-test and one-way ANOVA, chi-square tests and logrank tests), models with a linear effect or a non-linear effect (splines, polynomials) of a single quantitative covariate , multiple regression models, models with interaction as well as modeling strategies. Also models for counts, ordinal data and case-control studies are included. Participants Ph.D.-students and other interested with a basic knowledge in statistics, e.g. as acquired by following the Basic Statistics course. Max. 25 participants. Language Danish or English. Form 8 full days with forum lectures and computer exercises using primarily SAS though participants who wish to use the R or STATA software are free to do so. Course director Professor Per Kragh Andersen. Teachers Professor Per Kragh Andersen and associate professor Lene Theil Skovgaard. Course secretary Susanne Kragskov Laupstad, Department of Biostatistics, e-mail: skl@sund.ku.dk Dates 24, 27 April, 4, 8, 11, 15, 18 and 22 May 2017, all days 10-17. Course location CSS Registration: Please register before 27 March 2017 Admission to PhD students from Danish universities will be allocated on a first-come, first-served basis and according to the rules in force. Applications from other participants will be considered after last day of enrollment. 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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