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Clinical Research V: Using SPSS for applied medical statistics
Provider: Faculty of Health and Medical Sciences
Activity no.: 3717-17-00-02
Enrollment deadline: 25/08/2017
Date and time
14.09.2017, at: 08:00 - 25.09.2017, at: 16:00
Regular seats
16
Course fee
7,800.00 kr.
ECTS credits
3.20
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). 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.
Learning objectives
A student who has met the objectives of the course will be able to:
1. Understand the data structure in SPSS and handle data using a set of best practices.
2. Perform data calculations and recode and validate data in SPSS.
3. Select, perform and interpret basic statistical analyses in SPSS.
4. Understand common problems when managing data and performing analyses in SPSS.
Content
In a compact format, this course will introduce you to applied medical statistics using SPSS through short lectures and demonstrations and plenty of practical hands-on and exercises, linking SPSS features and basic statistic analyses. We focus on making you able to apply your statistical knowledge to real life research data using SPSS.
Before the course you will receive a small pre-course assignment to be completed before the course to introduce you to SPSS. Between the second and third course day you will complete a homework assignment where you will apply the skills you have learned during the course. Expect to use a full day all together for these course assignments.
NB: You are required to bring your own laptop computer with a working installation of SPSS, preferably version 22 or newer. You can find the latest versions of SPSS in the Software Library on the intranet.ku.dk website.
We will cover the following topics: Introduction to the software and the data and variable view, handling databases, transforming and recoding data, descriptive statistics, determining which statistical test to use, simple statistical tests such as independent and paired samples t-test, Chi square, analysis of variance (ANOVA), simple and multiple linear regression.
Participants
The target audience is PhD students, research students or clinicians. There are no pre-requisites for this course except for basic statistical knowledge.
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
The course is held in Danish unless English is requested by non-Danish participants.
Form
The course is comprised of a mixture of lectures, workshops, exercises, plenary discussion and presentations and a homework assignment. For instance: Lectures, group work, discussions, poster presentations, exercises or others.
Course director
Vibeke Backer, Professor, DMSc, Respiratory Research Unit, Bispebjerg Hospital (backer@dadlnet.dk).
Teachers
Emil Walsted, MD, PhD student, Respiratory Research Unit, Bispebjerg Hospital (emilwalsted@dadlnet.dk)
Steven A. W. Andersen, MD, PhD, postdoc, Dept. of Otorhinolaryngology—Head & Neck Surgery, Rigshospitalet, and the Simulation Center, Copenhagen Academy for Medical Education and Simulation (stevenarild@gmail.com)
Jonas Olsen, MD, PhD student, Dept. of Dermatology, Sjællands Universitetshospital, Roskilde.
Lecturer from section of biostatistics, SUND
Dates
14.09.17
15.09.17
25.09.17
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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