Graduate School of health and Medical Sciences

Introduction to medical statistics using SPSS
Provider: Faculty of Health and Medical Sciences

Activity no.: 3307-20-00-00
	Enrollment deadline: 15/08/2020

Date and time	15.09.2020, at: 00:00 - 29.09.2020, at: 16:00
Regular seats	16
Course fee	7,560.00 kr.
Lecturers	Vibeke Backer
ECTS credits	3.50

Contact person	Marianne Bøje E-mail address: marianne.boeje@regionh.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. Course title Introduction to medical statistics using SPSS Learning objectives A student who has met the objectives of the course will be able to: 1. Create and use SPSS databases using a set of best practices 2. Perform data calculation, transformation and validation in SPSS 3. Overcome common problems when dealing with data in SPSS such as importing, converting, date- and time handling and recoding 4. Select and perform common statistical tests in medical research for a given hypothesis and end point Content In this course, you will learn a set of basic skills for working with data and performing statistical tests and analysis using SPSS. We aim to provide a set of operational skills for clinicians and health care professionals, as well as introductory knowledge of statistical tests frequently used in clinical research. The course comprises interleaved teaching, practical examples, interactive cases and exercises, and includes a mandatory individual project assignment to be completed between days 3 and 4. Teaching is based on real-life datasets that we supply; working with the same problems and data facilitates discussion and learning to the benefit of all participants. We are happy to answer questions about your own projects and data, as time allows, in a designated workshop session on Day 4. You must bring a laptop computer on all days of the course, with a working and licenced copy of SPSS version 22 or above installed. Please install and check that SPSS is functional before the course days. A university licenced version of SPSS can be downloaded from the software library on the university intranet, and if you are a Region H employee you may install SPSS for free via “Software Shoppen”. General course structure • Day 1: Working with SPSS • Day 2: Basic statistical concepts and tests • Day 3: Linear regression, correlation, visualisation • Day 4: Home assignment solution/discussion and workshop with participants’ own data Participants The course is aimed at people who • work in clinical research or as a clinician • have at least a basic understanding of the concept of statistical testing • want to get started working with medical statistics and SPSS • struggle with programming in other statistical packages such as SAS or R • need to learn SPSS from scratch, or • are somewhat proficient in SPSS but want to improve your skills and discover new features You might not benefit from participating in this course if you • have never been introduced to statistical methods • are already skilled with SPSS and statistical testing • wish to use repeated measurements (although we do cover paired testing in brief), survival statistics or other statistical methods not mentioned in this course description • wish to learn more about imputation or other advanced statistical concepts 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: Clinical Research Biostatistics and Bioinformatics All graduate programmes Language The course is held in Danish unless otherwise required, as per university regulations. Form The course is comprised of a mixture of lectures, workshops, assignments and plenary discussion. Course director Prof. Vibeke Backer MD, DMSc, Centre for Physical Activity Research, Rigshospitalet, backer@dadlnet.dk Teachers Prof. Vibeke Backer, MD, DMSc, Rigshospitalet Emil Schwarz Walsted, MD PhD, Bispebjerg Hospital Ass. prof. Karl Bang Christensen, Biostat, KU Ass. prof. Lene Theil Skovgaard, Biostat, KU Dates 15.09.2020 16.09.2020 17.09.2020 29.09.2020 Course location Rigshospitalet, Tagensvej 22, entrance 78, education room 203, 2nd floor. Registration Please register before 15.08.2020 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. Formel requirements Basic knowledge of statistics 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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