Graduate School of health and Medical Sciences

Basic Statistics for Health Researchers (Danish) - R
Provider: Faculty of Health and Medical Sciences

Activity no.: 3304-20-00-01
	Enrollment deadline: 03/01/2020

Date and time	03.02.2020, at: 10:00 - 29.04.2020, at: 15:00
Regular seats	25
Course fee	5,160.00 kr.
Lecturers	Susanne Rosthøj
ECTS credits	9.00

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), and for PhD students at graduate schools in the other Nordic countries. All other participants must pay the course fee. Learning objectives A student who has met the objectives of the course will be able to: After finishing the course, the participants will 1. have a general feeling for the ideas in a statistical model and the type of conclusions that can be drawn from the subsequent statistical analysis 2. be able to understand and interpret the results of basic statistical procedures (t-test, associations in 2x2 tables, linear regression, multiple linear regression, logistic regression, survival analysis) 3. know the assumptions involved in the basic statistical procedures, and why these are not all equally important, depending on the aim of the analysis 4. be able to carry out these basic statistical procedures using one of the mainstream statistical software packages 5. have required tools for detecting gross misfit of the model and make remedies such as transformation of outcome and/or covariates 6. have a thorough understanding of the concepts of confounding and interaction, preferably in the context of their own work 7. know about estimation of association parameters, statistical significance and power, so that they can write the statistical methods and results sections for their own research reports (limited to basic statistical procedures) 8. know when to seek expert help The participants are invited to bring their own data to the exercises, since in quiet moments during the practical exercises, there will be a limited access to discuss these in the light of the topics covered in the course. Content Topics covered: Basic statistical concepts (probability, distribution, estimation, test of significance). Analysis of quantitative measurements (group comparisons, regression and the general linear model). Sample size determination. Categorical data (association in two-way tables, logistic regression analysis). Survival analysis (Kaplan-Meier, Cox regression). Correlated measurements, longitudinal data. Use of statistical software In the lectures: We show output from SAS and provide SAS code for many of the examples used. In the exercises: For course 00, SPSS is used for the exercises. For course 02, SAS is used for the exercises. For course 01, 03 and 04, R is used for the exercises. The participants must bring their own laptops with the necessary software downloaded before the course. They are also encouraged to install Eduroam in order to have Internet access during the exercises. Otherwise, data for use in the exercise class must be downloaded before coming to the class. As a Ph.D.-student, you can download SAS and SPSS from the Self Service pages on KU-net, free of charge, and you have access to the free wireless network Eduroam on campus. Participants Ph.D. students. In case of vacant seats also other health researchers. 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 Form 10 x 3 hr forum lectures and 10 x 3 hr class exercises. Compulsory home exercise. Course director Associate professor Susanne Rosthøj Teachers Associate professors Lene Theil Skovgaard, Susanne Rosthøj plus external teachers. Dates Course 01: 3, 5, 17, 19, 24, 26 February, 2, 4, 9, 11, 16, 18, 23, 25, 30, March, 1, 20, 22, 27, 29 April 2020 (Mondays 10-13, Wednesdays 12-15) Course location CSS Registration Please register before 3 January 2020 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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