Practical biostatistics Workshop for EM researchers

Workshop Details
Date: 14th Dec 2021 (Saturday)
Time: 09:00-17:00
Format: Face-to-face & Virtual
Venue (if applicable): HKU campus

Minimum no. of participant: 27

Deadline of application: 31 Oct 2021 (Sunday)

Organizing task force:
Dr Rex Lam, Clinical Associate Professor of Practice, Emergency Medicine Unit, The University of Hong Kong

Dr Kevin Hung Assistant Professor in Emergency Medicine, Chinese University of Hong Kong
Dr Eric Lau, Scientific Officer, School of Public Health, LKS Faculty of Medicine, HKU
Dr Marc Chong) , Assistant Professor, Centre for Health System and Policy Research, Faculty of Medicine, CUHK

Learning objectives:
  1. To understand the principle, assumptions, procedure, and limitations of commonly used biostatistics methods in emergency medicine research, such as C-statistics, multivariable logistic regression and survival analysis.
  2. To learn more advanced statistical methods such as propensity score matching, bootstrapping, K-means clustering
This workshop is designed for participants with experience in EM research. Each topic will start with a real-life example EM researchers likely encounter in their work, followed by solutions provided by academic biostatisticians. The theoretical basis and practical steps of each biostatistics method will be explained. There will be a 5-minute Q&A session at the end of each topic.

Tentative program:
Time Event
09:00-09:15 Introduction
09:15-10:15 Linear and logistic regression – How to get them right in your research?
10:15-10:45 Poisson regression – When and how to apply it in your study?
10:45-11:00 Break
11:00-11:30 C statistics – How to compare the diagnostic performance of different clinical scores/tests properly?
11:30-12:00 Survival analysis – How to perform Kaplan Meier and Cox regression?
12:00-12:15 Q&A for the morning session
12:15-13:30 Lunch
13:30-14:15 Advanced topic 1
Advanced regression techniques – How to address low event rate in regression?
14:15-15:00 Advanced topic 2
Propensity score matching - How to estimate treatment effect when its allocation is affected by sample characteristics?
15:00-15:15 Break
15:15-16:00 Advanced topic 3
Bootstrapping method – What is it and how can it help with internal validation?
16:00-16:45 Advanced topic 4
K-means clustering – What is it and how can we use it to recognise pattern in your data?
16:45-17:00 Q&A and wrap-up