Pre-conference Workshop 1

Registration Guidelines

  • Enrollment for the workshops is taken when delegates register for the Conference.

  • The conference registration fee is all-inclusive. No extra charge is needed for participating in the Pre-conference Workshops.

  • Pre-registration is needed, and seats are limited. Registrations are on a first-come, first-served basis.

  • Conference participants are welcome to join either one, or both of the workshops.

Workshop 1

Theme:

Date:

Time:

Format:

Language:

New Research Methods for Global Health 

15 November 2021 (Monday)

0900-1200 (Hong Kong Time, GMT+8)

Virtual

English

Epidemiologists; Researchers interested in causal inference; Postgraduate students working in global health or relevant disciplines

Target Audience:

Workshop Description:

The ongoing methodological “revolution” in research methods has deconstructed paradoxes, such as the birth weight paradox and the obesity paradox, clarified the conditions required for unbiased assessment of causal effects from observational study designs and cast a more critical gaze on observational study designs. It has also drawn attention to the importance of using directed acyclic graphs and selection diagrams to depict transparently a theoretical model and to guide analysis. This workshop will explain the distinction between the use of predictive and explanatory models, the use of directed acyclic graphs as an underlying principal for assessing study design, and the use of selection diagrams with directed acyclic graphs to assess generalizability of from one study to another. This workshop will also de-mystify the use of newer study designs, such as instrumental variable analysis, marginal structure models and G-estimation. Participants will conduct their own study design.

Learning objectives:

  1. To describe recent changes in epidemiological methods

  2. To use directed acyclic graphs to design a study

  3. To use selection diagrams to assess generalizability

  4. To explain the strengths and weaknesses of quasi-experimental study designs

Bio sketch of the instructor:

Dr CM Schooling is currently an Associate Professor at the School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong (HKU). Dr Schooling received a PhD from University College London in 2001. As a keen advocate of more rigorous epidemiological methods, Dr Schooling has implemented studies with many different designs and published award winning methodological papers, among over 300 published papers. As an editor or Advisory Board member of the Journal of Epidemiology and Community Health, Social Science and Medicine, Preventive Medicine and Plos ONE, and as a reviewer for many international grant awarding bodies Dr Schooling is shaping the new generation of methodologically rigorous researchers in global health.

Mary Schooling

Associate Professor and Cluster Leader (Non-communicable Diseases in Global Health), LKS Faculty of Medicine, The University of Hong Kong