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🌍 Calling All EACCR Network Members: Join the 2nd Round of the 'Figure It Out' Course!

 

We are excited to announce the return of the 'Figure It Out' course, exclusively open to participants from the East Africa Consortium for Clinical Research (EACCR). After a highly successful first round, this unique training program is back, designed to empower researchers and health professionals within the EACCR network to conduct impactful global health research.


Why Join the 'Figure It Out' Course?

🔎 Comprehensive Research Training:
From designing robust studies to analyzing and disseminating data, this course equips you with essential tools for cutting-edge research. Topics include analysis methods for randomized controlled trials, quasi-experimental designs, and survey data.

🧠 Learn from Global Health Experts:
Gain insights from renowned professionals from the Amsterdam Institute for Global Health & Development (AIGHD), including Research Fellow Dr. Daniella Brals and Senior Fellows  Prof. Frank Cobelens and Dr. Guus ten Asbroek.

🤝 Network and Collaborate:
Engage with fellow EACCR network members from diverse backgrounds, including medical sciences, data science, and statistics, fostering collaboration and idea exchange.


Who Can Apply?
This course is exclusively for researchers, students, and health professionals within the EACCR network who are eager to enhance their research skills and make a meaningful contribution to global health.


How to Apply:
You can sign up for the Figure it Out course here. Spaces are limited, so don’t miss out on this incredible opportunity!

📩 For inquiries, reach out to d.brals@aighd.org.

Let’s advance global health research together. Join us and 'Figure It Out!'

Course Planner – Figure It Out – EACCR Network (Online)

Overview

Duration: Weekly online sessions
Time: Wednesdays at 14:00 CET
Format: Lectures (1.5–3 hours), homework, assignments, and consultations


Weekly Schedule with Readings

Week 1: April 2

Topics:

  • Course introduction
  • Overview of quantitative study designs
    Instructor: Dr. Daniella Brals

Week 2: April 9

Topics:

  • Trial design
  • Case study: Example from Ghana
    Instructor: Dr. Guus ten Asbroek
    Reading Prior to Session:
  1. Effect of the Newhints home-visits intervention on neonatal mortality rate and care practices in Ghana: a cluster randomised controlled trial
  2. NEWHINTS cluster randomised trial to evaluate the impact on neonatal mortality in rural Ghana of routine home visits to provide a package of essential newborn care interventions in the third
    trimester of pregnancy and the first week of life: trial protocol
  3. Promoting skin-to-skin care for low birthweight babies: findings from the Ghana Newhints cluster-randomised trial

Week 3: April 16

Topics:

  • Quasi-experimental design
  • Introduction to Difference-in-Differences
    Instructor: Dr. Daniella Brals
    Reading Prior to Session:
  1. The effect of health insurance and health facility-upgrades on hospital deliveries in rural Nigeria: a controlled interrupted time-series study
  2. The impact of subsidized private health insurance and health facility upgrades on healthcare utilization and spending in rural Nigeria

Week 4: April 23

Topic: Study proposal/protocol development
Instructor: Prof. Frank Cobelens
Finish Prior to Session:


Week 5: April 30

Topics:

  • Survey design
  • Handling survey weights
  • Multilevel modelling
    Instructor: Dr. Daniella Brals
    Reading Prior to Session:
  1. Can school-based distribution be used to maintain coverage of long-lasting insecticide treated bed nets: evidence from a large scale programme in southern Tanzania?
  2. Evaluation of long-lasting insecticidal net distribution through schools in Southern Tanzania

Week 6: May 7

Topics:

  • Difference-in-Differences in R/Stata
  • Multilevel modeling in R/Stata
  • Handling missing data in R/Stata
    Instructor: Dr. Daniella Brals
    Reading Prior to Session:
  • Review relevant materials from prior sessions on Difference-in-Differences and Multilevel modeling.

Week 7-9: May 12-May 30

  • Hands on data analysis
  • Online coding sessions
  • Writing up results in policy brief
  • Prepare slides for final presentation

Week 10: June 1 (Mock presentations) and June 4 (Final presentations)

Topic: Presentations
Activity: Share findings


Assignments

The course is structured around a central global health research question, for example: Can decentralizing hypertension care lead to a reduction in blood pressure among individuals with elevated or high blood pressure? Working in groups of 2–4, students will:

  1. Develop a novel intervention and study design to evaluate the research question, including specifying the data to be collected and drafting a detailed statistical analysis plan (Week 2-5).
  2. Analyze custom-simulated data provided by AIGHD, tailored to match each group’s study design and planned variables. Each group receives unique data, ensuring that no two projects are alike (Week 6-9).
  3. Produce and present findings by writing an analysis & policy brief and presenting their work to a panel of at least three senior researchers from AIGHD (Week 10).

Additional Support

  • Online Consultations: Available on demand.

Certification

  • Participants will receive a certificate upon successfully completing the course.
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