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Introduction to medical statistics using SPSS
Provider: Faculty of Health and Medical Sciences
Activity no.: 3307-19-00-00
Enrollment deadline: 28/04/2019
Date and time
14.05.2019, at: 08:00 - 28.05.2019, at: 16:00
Regular seats
16
Course fee
7,200.00 kr.
Lecturers
Vibeke Backer
ECTS credits
4.00
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.
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. Select and perform common statistical tests in medical research for a given hypothesis and end point
3. Perform data calculation, transformation and validation in SPSS
4. Overcome common problems when dealing with data in SPSS such as importing, converting, date- and time handling and recoding
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; if time allows, we are happy to answer questions about your own projects and data, but this is not a priority. Working with the same problems and data facilitates discussion and learning to the benefit of all participants.
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. A university licenced version of SPSS can be downloaded from the software library on the university intranet.
Day 1 – Working with SPSS
• Test – key concepts
• The SPSS environment
• Data formats and structure of an SPSS database
• Loading, entering and coding data, missing data
• Calculations and transformations
• Coding – “Syntaxes”
Day 2 – Basic statistical concepts and tests
• Refresher: Measures of central tendency, (normal-) distributions, p-values, confidence intervals and effect sizes
• Choosing which statistical test to use
• Descriptive statistics
• Chi square, independent T-test and ANOVA, non-parametric alternatives
Day 3 – Visualisation, correlation and linear regression
• Data visualisation: Graphs and tables
• Correlation
• Simple and multiple linear regression
• Project assignment
Day 4 – Data import and validation, paired statistical tests
• Project assignment, solution
• Import and validation of data
• Statistical tests for paired data (t-test, McNemar)
• Test – key concepts
• Course evaluation and feedback
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 DMSc, Respiratory Research Unit, Bispebjerg Hospital, backer@dadlnet.dk
Teachers
Prof. Vibeke Backer, Bispebjerg Hospital
Prof. Lars Konge CAMES
Emil Schwarz Walsted, MD PhD, Bispebjerg Hospital
Ass. prof. Karl Bang Christensen, Biostat, KU
Ass. prof. Lene Theil Skovgaard, Biostat, KU
Dates
14.05.19
15.05.19
16.05.19
28.05.19
Course location
Bispebjerg Hospital, Entrance 50 (Educational section, see screen for room)
Registration
Please register before 14 April 2019
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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