Erasmus Summer Programme Courses
Take a look at all the courses in the Erasmus Summer Programme, and find the course right for you.
View all ESP coursesPractice of Epidemiologic Analysis [ESP65]
Course highlights
EC points
0.7
Start date
17 August 2020
End date
21 August 2020
Course days
Monday to Friday (5 mornings)
Course time
From 8:45 till 11:45 CEST
Faculty
Prof. Kamran Ikram
Course fee
€ 490
Location
Online
Level
Intermediate
Prerequisites
None, though basic understanding of epidemiology is helpful.
Disciplines
- Epidemiology
- Methodology
- Clinical Research
- Clinical Epidemiology
Course Materials
Online, download instructions will be sent before the start of the course, by e-mail.
A laptop is recommended. Access to SPSS will be required for the full length of the course. A student SPSS license can be purchased for an additional €10 after enrollment.
Apply for this course?
Design your programme
Try using our Programme Configurator to design and plan your own programme.
ConfiguratorTestimonial
Itai Magodoro
Zimbabwe
The professors - who are at the cutting edge in their respective fields - bring science to life!
Read the full storyDetailed information about this course:
Description
Faculty: Prof. Kamran Ikram, MD PhD
This is a course in which the theoretical background and practical application of basic epidemiologic analytic tools is discussed. Special attention will be paid on issues such as normalization, standardization, and categorization, combining multiple variables, combining multiple sources etc. The goal is to provide students with the understanding and tools to perform epidemiologic data analysis.
//Please note that the course information is subject to change and will be updated from time to time. We will do our utmost best to ensure the accuracy and reliability of the information on this website.//
Objectives
- To gain a better understanding of issues concerned with categorization and dichotomization of variables
- To better understand the usage of normalization and standardization
- To learn different methods to combine data from multiple sources
Participant profile
The course is particularly intended for students who have completed their data collection and move towards data analysis. No prior knowledge is required although understanding of basic epidemiology is helpful.
Assessment
Attendance