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Statistical methods for familial aggregation based on twin and family data
Provider: Faculty of Health and Medical Sciences
Activity no.: 3638-17-00-00
Enrollment deadline: 09/10/2017
Date and time
06.11.2017, at: 08:00 - 08.11.2017, at: 16:00
Regular seats
15
Course fee
3,360.00 kr.
Lecturers
Thomas Scheike
ECTS credits
3.10
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 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.
Anyone can apply for the course, but if you are not a PhD student, you will be placed on the waiting list for the course until enrollment deadline. After the deadline of enrollment, available seats will be allocated to students on the waiting list.
Learning objectives
A student who has met the objectives of the course will be able to:
Estimate and describe familial aggregation for binary data
Estimate and describe familial aggregation for quantative data
Estimate and describe familial aggregation for survival and competing risks data
Work with variance decomposition models in these settings.
Content
This course will describe particular statistical methods and their use for multivariate data with a focus on how to quantify familial aggregation of specific diseases and quantitative and binomial traits
Topics:
- The twin design
- Family studies
- Kinship models and quantification of heritability
- Path analysis and variance component models. Decomposition of genetic and enviromental effects
- Liability threshold model for categorical endpoints
- Survival analysis and frailty models
- Association measures in competing risks data.
- Cumulative incidence modeling
Describe the course curriculum in terms of scientific topics covered.
Participants
Biostatistical/statistical Ph.D.-students. Max. 15 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:
Biostatistics and Bioinformatics
Language
Danish or English
Form
The course will consist of lectures and computer sessions (using R) illustrating the implementation and interpretation of the various models. The course will be passed by attending at least 80% of the course and satisfactorily responding to a take-home exam. The participants are expected to use their own laptops during the course, and that they have the software installed and have downloaded all data for use during the course
Course director
Professor Thomas Scheike, Section of Biostatistics, thsc@sund.ku.dk
Teachers
Professor Thomas Scheike, Section of Biostatistics
Dates
6, 7, 8 November 2017, all days 8-15.
Course location
CSS
Registration
Please register before 9 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.
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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