Beyond Classic Designs & Analysis for Health Data

Programme Information

Date: 27 June – 08 July 2022 | Mondays, Wednesdays and Fridays (6 sessions)

Time: 2.00pm – 5.30pm (SGT)

Delivery Mode: Online via Zoom

Overview

Developed with the prestigious Karolinska Institutet in Sweden, this six-session online workshop presents a unified view of the classic sampling designs for health investigations. Participants will learn first-hand on how to make better use of data resources and methods of analysis to address questions concerning the health of a population.

This workshop has four components, dealing with (i) commonly used sampling designs, (ii) two-stage designs for cost-effective studies, (iii) extended analysis of data from standard designs, and (iv) extensions to designs to improve bias and efficiency. Within each of these components, several topics will be presented, and participants will engage in different types of exercises: logical reasoning in the discussion of published articles; simple calculations using pencil-and-paper or calculator; epidemiological calculations using the OpenEpi online calculator, and computational exercises using statistical software.

Learning Objectives

After the course, participants should be able to:

• Select and justify a suitable design for a specific research question, and discuss the designs of published studies with particular attention to the choice of controls;
• Compare and interpret estimates of an exposure effect from different sampling strategies;
• Identify, analyse and design a two-stage study;
• Estimate relative risk and absolute risk from case-control data using weighted analysis.

Who Should Attend?

Public health professionals, epidemiologists, biostatisticians, data analysts, investigators involved in medical or health-related projects and PhD students and postdocs with research in a health-related discipline.

Prerequisites

To benefit from the course, the participant needs to be familiar with the standard sampling designs (e.g., cross-sectional, cohort and case-control studies) used in health research, and to have sufficient competence (i.e., more than 1 year of experience) with using a statistical software package to implement logistic regression models. Please note that tutorials and support will only be provided in Stata and R.

Certification

An electronic Certificate of Completion will be awarded to participants who meet a minimum of 75% attendance.

Instructors

Application

• Application closes on 13 June 2022, 5pm (SGT) [Extended]
• For more information on this course, please contact us at sph_cpe@nus.edu.sg.

Cancellation

• Cancellation is permissible if conveyed to the course administrator in writing via email before 15 June 2022.
• A cancellation charge of 50% of the fee will be levied if the cancellation is received after 15 June 2022.
• No refunds will be given from 27 June 2022 onwards but replacement with another name is permissible.