EMBRACE Workshop

Empowering research for better healthcare (EMBRACE) Workshop

Modern to non-communicable disease

August 10, 2017
9:00AM - 4:00PM

Hotel Kimberly Manila
Sophia Function Room

770 Pedro Gil St, Malate,
1004 Manila, Philippines

+63 998 955 0455

Are you a medical student, healthcare professional, basic scientist, or population health researcher looking for opportunities to enhance or update your research skills? Or do you simply want to hear more about how modern scientific studies can provide evidence to ensure the right treatment for the right patients?

Our first workshop in Manila titled Empowering Research for Better Healthcare (EMBRACE) aims to provide an overview of how modern day health research and data analysis can provide evidence to ensure best practice of healthcare. A particular focus will be the current challenges of research and healthcare in the Philippines, especially with the rising life expectancy and the rapid demographic transition taking place all over the country. The workshop will uniquely combine fundamentals of research data analysis in non-communicable disease, an overview of modern methodological techniques, as well as in-depth discussions about practical issues and feasibility of conducting research in the Philippines. There will be lectures, interactive sessions, and practical demonstration of statistical analysis with plenty opportunities for discussions. Materials will be designed to suit medical students, postgraduate researchers, health professionals, and other professions with basic knowledge in health or science who are interested in conducting basic or population health research, particularly in the field of non-communicable disease. Participants are also invited to have a one-on-one session with our key speakers to discuss their own research projects.

This workshop is part of PILAR's educational programme in collaboration with the Clinical Epidemiology Department at University of the Philippines Manila. There is limited capacity to allow optimal interaction between participants and speakers, and registration is accepted first come, first served basis. Register now to secure your place.


This workshop seeks to equip current and prospective Filipino researchers with the knowledge and skills to conduct research that furthers our understanding of non-communicable disease. The workshop will combine lectures and practical examples from real-life data, with plenty of opportunities for interaction between speakers and participants. The changing trends in non-communicable disease and practical considerations for research in the Philippines will be recurrent themes throughout the workshop.

Learning outcomes

On successful completion of this workshop, participants will be able to:

  • Understand the current situation and challenges of non-communicable disease in the Philippines and how health research can address these challenges
  • Get an overview of common statistical methods in health research
  • Understand the fundamentals of the design and analysis of observational research
  • Understand the fundamentals of the design and analysis of experimental research
  • Gain knowledge on trend prediction of health outcomes
  • Be able to recognise potential challenges and solutions in analysis of a health study
  • Gain knowledge on analytical approaches of complex data


Professor Timothy O'Brien, PhD

Graduate Program Director (Statistics), Loyola University, Chicago, US

He has led a number of statistical methods workshops in South East Asia and has more than 50 peer-reviewed publications to his name, with a particular research interest in the optimal design of experiments.

Dr Johnathan Watkins, MA (Cantab)

Director, PILAR Research and Education, Cambridge, UK

He is a graduate of the University of Cambridge and King's College London, and is currently a management consultant at one of the top consulting firms. He has patents for predicting therapeutic response in cancer patients pending and has conducted research in areas ranging from cancer genomics and bioinformatics to health economics and policy with publications in some of the highest impact journals such as The Lancet, Nature Medicine, and Cancer Discovery.


Dr. Carlo Irwin A. Panelo

Associate Professor at the Department of Clinical Epidemiology of the University of the Philippines College of Medicine

Dr. Carlo Irwin A. Panelo is an Associate Professor at the Department of Clinical Epidemiology of the University of the Philippines College of Medicine where he teaches the courses on Clinical Economics and Health Policy. Concurrently, he is the Chief of Party of the Health Policy Development Program, a USAID-funded policy project supporting the Department of Health, that is implemented by the Upecon Foundation, Inc.


Time Topic Session leader
Session I: Introduction (Chair: Prof. Nina Castillo-Carandang)
09.00-09.15 Introduction from PILAR and the Department of Clinical Epidemiology, College of Medicine, U.P. Manila Dr. Johnathan Watkins, Prof. Nina Castillo-Carandang
09.15-10.00 Trends in non-communicable disease in the Philippines and the role of research Dr. Carlo Irwin A. Panelo
10.00-10.45 An overview of data analysis Prof. Tim O’Brien
10.45-11.00 Coffee break
Session II: Fundamentals of data analysis (Chair: Dr. Johnathan Watkins)
11.00-11.45 Design and analysis of observational research: experience from a community-based cohort study in the Philippines Dr. Rody G. Sy
11.45-12.30 Design and analysis of experimental research Prof. Tim O’Brien
12.30-13.00 Projecting the rates of chronic disease outcomes Dr. Johnathan Watkins
13.00-14.00 Lunch
Session III: Practical issues in data analysis (Chair: Dr. Johnathan Watkins)
14.00-15.00 Small group activity: Planning a health research analysis Dr. Johnathan Watkins, Prof. Nina Castillo-Carandang
15.00-15.45 Dealing with complex data: modern practice and practical considerations Prof. Tim O’Brien
15.45-16.00 Closing Dr. Johnathan Watkins

Share this Post

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.