Graduate School of health and Medical Sciences

Statistical analysis of correlated and repeated measurements
Provider: Faculty of Health and Medical Sciences

Activity no.: 3319-17-00-00
	Enrollment deadline: 23/10/2017

Date and time	21.11.2017, at: 08:00 - 08.12.2017, at: 15:00
Regular seats	65
Course fee	2,280.00 kr.
Lecturers	Julie Forman
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. Aim This course is concerned with analysis of correlated quantitative data, arising e.g. when taking observations repeatedly over time or from clusters. Examples of repeated measurements over time could be glucose tolerance tests, weight in infants, or time dependent outcomes from clinical trials. Examples of clustered data are observations from groups of patients from several hospitals, groups of pups from several litters, or different treatments applied to both eyes/arms/legs or multiple teeth in a group of patients. Pitfalls of traditional statistical analyses will be discussed and appropriate models to analyze these kinds of data will be exemplified. Content Topics include longitudinal data analysis, baseline-follow up studies, cross-over trials, comparison of measurement methods/raters, variance component and multi-level models, linear mixed models and generalized linear mixed models. Examples of data analyses in SAS and computer exercises with SAS will be given. Participants who would rather use e.g. R, SPSS or Stata programming are free to do so, but must be prepared to be very self-supportive. You must bring your own laptop with SAS installed for the exercises. Suggested reading Most of the topics are covered by G.M. Fitzmaurice, N.M. Laird & J.H. Ware. Applied longitudinal analysis, 2nd ed., John Wiley & Sons, 2011. Note: you are not required to buy the book, but we strongly recommend it. Participants Ph.D.-students with a basic knowledge of statistics, e.g. corresponding to the course “Basic statistics for health researchers”. In case of vacant seats also other health researchers. Max. 60 participants. Language English. Form 6 full days with forum lectures and computer exercises. Course director Associate professor Julie Lyng Forman, Department of Biostatistics Teachers Associate professor Julie Lyng Forman, associate professor Lene Theil Skovgaard and others. Course secretary Susanne Kragskov Laupstad, Department of Biostatistics, e-mail: skl@sund.ku.dk Dates 21, 24, 28 November, 1, 5, 8 December 2017, all days 8-15. Course location CSS Registration: Please register before 23 October 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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