Research

An introduction to prognosis and prediction research
10 Apr

An introduction to prognosis and prediction research

Prognosis research quality has been questioned due to conflation with causal research. The PROGRESS framework (2013) outlined four key themes: prognosis description, prognostic factors, prognostic models, and stratified medicine. This talk will highlight their clinical importance, discuss appropriate research methods, and differentiate variable selection approaches for prognostic and causal research. The insights also extend to broader prediction research.
Target trial emulation: a framework for causal inference from observational data
06 Feb

Target trial emulation: a framework for causal inference from observational data

Non-randomised studies should aim to mimic randomised trial designs to reduce bias. The target trial emulation framework helps researchers achieve this, but reporting remains poor. Harrison will introduce the framework, review its use in medical literature, and present TARGET, the first reporting guideline for these studies.
Development and validation of a cardiovascular risk assessment tool for people with type 2 diabetes
10 Oct

Development and validation of a cardiovascular risk assessment tool for people with type 2 diabetes

This presentation discusses the development and validation of a cardiovascular risk model for Omani adults with type 2 diabetes. This is the first cardiovascular risk model developed for Omanis with type 2 diabetes, showing adequate validity. ​A/Prof Patricia Lee, a senior epidemiologist in Public Health at the School of Medicine & Dentistry, specializes in biostatistics and public health research.