Faculty of Health, Medicine and Life Sciences

Module Information
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EPH3222  - Epidemiology/Methodology/Policy Advocacy/Statistics 8

Period 2: from 30-10-2023 to 22-12-2023
Co-requisites:
None
Coordinator: Hrzic, R.
ECTS credits: 2
Language of instruction: English

Publication dates timetable/results in the Student Portal

Deadline publication timetable
The date on which the timetable of this module is available: 13-10-2023

Deadline publication final result
The date on which the final grade of this module is available: 23-1-2024


Resit booking

Exam booking for a test in current academic year (resit)
You will be booked automatically for the resit in one of our resit periods. You may check our calenders to find out which modules can be retaken and when: https://intranet.maastrichtuniversity.nl/nl/fhml-studenten/studieverloop/wanneer-wat
As of one week before the resit test takes place, you can check in Student Portal if you are booked correctly: Student Portal > My Courses > More actions. The test will also be visible in your time table.

Exam booking for a test from a previous academic year (exam only)
All students who have not passed the test for this module in a previous academic year, will be booked automatically for the test during the regular block period. You will be enrolled in the new course in Canvas but not scheduled for a tutorial group and other educational activities. If you do not wish to participate in this test at the end of the regular block period please de-register via askFHML.

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Course information

Description: EN:

Philosophy of Public Health

In a lecture and two workshops, the PPH SCL will tackle the topics of public participation and the nature of expertise and knowledge.

Methodology 

The methodology SCL will involve two working lectures. In the first, we will introduce the constructivist approach and we will go into three specific narrative instruments to shape a reality: narrative structure, metaphors, and numbers. Students will practice this by applying this method on a specific policy report. In the second, we will introduce participatory research and consider some examples. We will explain basic characteristics of this methodology like openness, engagement, time, flexibility, collaborative interpretation, and evaluation. You will practice this by applying this method on a specific public health problem. There will a combined open question assignment for both topics, to be completed in pairs. 

Statistics

larger group of people than the observed group. In two lectures and three workshops, the students will become acquainted with simple and multiple logistic regression models.describe relationships between variables and that generalize the obtained results to a The SCL Statistics focuses on key statistical concepts and techniques that summarise and 

assessment is based on a short assignment relating to the analysis of a real-life dataset.SPSS via training sessions as well as to interpret and report the findings. The final You will learn to apply logistic regression on research data using the statistical package  In EPH3022, first simple logistic regression is introduced. This allows for studying the relationship between a dichotomous/binary dependent variable and one independent variable. This will be extended to multiple logistic regression analysis, which allows for studying relationships between one dichotomous/binary dependent variable and more independent variables. This extension may be needed to control for the influence that other variables may have on the association of interest (i.e. to correct for confounding).  

Policy advocacy

In a series of three lectures, students will meet with the challenges of public health professionals working in policy advocacy at the European and global level.

Goals: EN:

The specialised competency line activities (italicised in the table) aim to further support students in developing their specific and general competencies relevant to the course Health Policies at EU Level and Global Health Europe

Key words:
Literature:
Teaching methods:
  • Lecture(s)
  • Problem Based Learning
  • Training(s)
Assessments methods:
  • Assignment
  • Attendance

This page was last modified on:8-4-2024
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