Course on Medical Statistics
Objectives:
To refresh and deepen basic knowledge on basis statistical methods for the analysis of data from health care research project. Emphasis will be given to the interpretation and understanding of these statistical methods. To support the statistical calculations the software package SPSS will be used. The course prepares participants also for a more in-depth and detailed course on longitudinal data analysis (mixed models).
Target Group:
Post-graduate students, university and hospital staff, others interested in this subject. The course assumes some familiarity with common statistical terms used in the medical literature but does not assume any deep understanding. The course language is English.
Dates and times: 10 days in January 2018
Mon 8/1, Wed 10/1, Thu 11/1, Fr 12/1
Mon 15/1, Tue 16/1, Thu 18/1
Mon 22/1, Tue 23/1 Thu 25/1
Every day from 9 till 13 hr.
Form / Content:
Each course day consists of a lecture (9-11), a computer class (11-13) and self-study (14-17). The following topics will be covered: descriptive statistics, normal and binomial distribution, study design, confidence intervals and hypothesis testing, comparison of groups of categorical and continuous outcomes, linear and logistic regression analysis, longitudinal and survival data analysis.
Material: Syllabus 'Basic Medical Statistics'. The syllabus will be provided at the start of the course.
Study load: 3 ECTS credits
Certificate: Will be issued on active participation during the whole course.
Faculty: Dr. Sacha la Bastide and Drs. Hans Burgerhof
Course fee: Graduate school members for free, UMCG AIO’s € 600, others € 1.200.
Cancellation: No refund on cancellation within 1 week before the start of the course, 50% within 1-4 weeks before the start of the course.
Application: For application please use this application form.
Administration: Mrs. A. van der Zee, tel: 361 0738, e-mail: a.van.der.zee umcg.nl
Dept. of Epidemiology, UMCG, Postbus 30.001, 9700 RB Groningen
More info: j.g.m.burgerhof umcg.nl
| Last modified: | 27 July 2020 11.06 a.m. |