Erasmus Summer Programme Courses

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Practice of Epidemiologic Analysis [ESP65]

Course highlights

EC points

0.7

Start date

23 August 2021

End date

27 August 2021

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

No prior knowledge is required although understanding of basic 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 for the online Zoom sessions.

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.

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Detailed 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. Most topic discussed in this course lie at the cross-roads of Epidemiology and Biostatistics and covers issues that are typically faced by starting researchers. Topics covered are: Data preparation, Missingness, Categorization, Normalization, Standardization, Stratification, Multiple testing, Sample size calculation.

The goal is to provide students with the understanding and tools to perform their initial epidemiologic data analyses.


//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 the theoretical backgrounds of the topics mentioned above.
  • To enable the students to translate the theoretical insights into practical tools, which they can immediately implement in their own research.

Participant profile

The course is particularly intended for students who have completed their data collection and move towards their first data analysis.

Assessment

Attendance