ESC 365 - Discrimination and calibration are insensitive metrics for comparing the performance of cardiovascular risk prediction models

ESC Professional Premium Access

Discrimination and calibration are insensitive metrics for comparing the performance of cardiovascular risk prediction models

Session: Cardiovascular risk prediction, mortality disparities, and equity in cardiology research: global insights

Topic: Cardiovascular Epidemiology

Speaker: Miss J. Liang (Auckland, NZ)

Event: ESC Congress 2024

Congress Presentation

Add to my library

About the speaker

Miss Jingyuan Liang

The University of Auckland, Auckland (New Zealand)

1 presentation

0 follower

5 more presentations in this session

Global burden of high-risk cardiovascular patients without prior myocardial infarction or stroke: VESALIUS-REAL - preliminary results from Germany

Speaker: Doctor Q. Chan (Greater London, GB)

Implementation of sodium-glucose co-transporter 2 inhibitors in patients with heart failure through a new digital strategy (EMAIL-HF): a randomised clinical trial study design

Speaker: Doctor M. Elmegaard (Copenhagen, DK)

Global variations in coronary revascularisation and acute myocardial infarction mortality between 2006-2020: a longitudinal, population-level analysis of 16 high-income nations from the OECD database

Speaker: Doctor U. Ojha (East Kent, GB)

Factors associated with non-publication of clinical trials in cardiovascular medicine: a cross-sectional analysis

Speaker: Doctor M. Alawajneh (Irbid, JO)

Equity and representation in cardiology research: a comprehensive analysis of authorship from low and low-middle income countries in leading cardiology journals

Speaker: Doctor A. Martinez De Majo (Caracas, VE)

Access the full session

Cardiovascular risk prediction, mortality disparities, and equity in cardiology research: global insights

Speakers: Miss J. Liang, Doctor Q. Chan, Doctor M. Elmegaard, Doctor U. Ojha, Doctor M. Alawajneh...

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources