In Collaboration with Department of Public Health, Faculty of Medicine Universitas Padjadjaran, Center for Collaborative Reserach on Acute Respiratory Infections (CCR-ARI) invites you to a New Webinar Series on Epidemiologic & Research Methods.
Wednesday, August 8, 2018 at 10.00-12.00 am Bandung, Indonesia Time
10.00-11.00 am: “Systematic Review and Meta-analysis of Prediction Models”
By Thomas A. Debray, PhD
11-12 am: “Introduction to Infectious Disease Modelling”
By Welling Oei, PhD
First Presenter: Thomas A. Debray, PhD
Thomas A. Debray is the Assistant Professor Epidemiology & Biostatistics, University Medical Center Utrecht, The Netherlands.
He received his MSc degrees from two universities, Maastricht University in 2009 and Utrecht University in 2013. Then he finished his Ph.D. degree from Utrecht University in 2013. Thomas’s research is focused on refining statistical methods for risk prediction and stratified medicine including investigating the better prediction using big data sets and developing prediction models using data from individual patients and on aggregated level. Thomas is an active member of Cochrane Prognosis Methods Group and also an associate editor of BMC Diagnostic and Prognostic Research.
Second Presenter: Welling Oei, PhD
Welling Oei is a Postdoctoral researcher for Department of Public Health of Erasmus Medical Center, Rotterdam. She finished her MSc and PhD degree from Utrecht University, Utrecht, the Netherlands. During her PhD, she worked on Modelling the Transmission of emerging Infections in the Transfusion Chain (MITCH) project.
About The Webinar
Topic: Systematic Review and Meta-analysis of prediction models
Systematic reviews and meta-analysis are an important source of information for evidence based medicine. Systematic review of the validation studies of a prediction model might help to identify whether its predictions are sufficiently accurate across different settings and populations. Heterogeneity should be expected when summarising estimates of a model’s predictive performance. This lecture provides guidance for researchers systematically reviewing and meta-analysing the existing evidence on a specific prediction model, discusses good practice when quantitatively summarising the predictive performance of the model across studies, and provides recommendations for interpreting meta-analysis estimates of model performance.
Topic: “Introduction to Infectious Disease Modelling”
This webinar will walk you through the application of the infectious disease modelling. Mathematical models are being increasingly used to understand the transmission of infections and to evaluate the potential impact of control programs in reducing morbidity and mortality. Applications include determining optimal control strategies against new or emergent infections, such as swine flu, Zika or Ebola, or against HIV, tuberculosis and malaria, and predicting the impact of vaccination strategies against common infections such as measles and rubella.
Who should attend?
- Medical professionals : general practitioners, infectious disease specialists, clinicians including residents and undergraduate and postgraduate medical students.
- Health professionals including public health practitioners and medical statisticians.
Upon completion of the webinar participants will be able to:
- Understand step-by-step procedure to review a prediction model systematically
- Demonstrate the application of prognostic prediction models
- Understand the key steps of meta-analysis and interpret meta-analysis estimates of model performance
- Recall basic principles of infectious disease modelling and infectious disease epidemiology.
Register Here: http://webinar.ccr-ari.id