Calibration plots for multistate risk prediction models

Alexander Pate; Matthew Sperrin; Richard D. Riley; Niels Peek; Tjeerd van Staa; Jamie C. Sergeant; Mamas Mamas; Professor Gregory Lip; Martín O’Flaherty; Michael Barrowman; Iain Buchan; Glen P. Martin

doi:10.1002/sim.10094

Preprint2023

Calibration plots for multistate risk predictions models: an overview and simulation comparing novel approaches

Alexander Pate, Matthew Sperrin, Richard D. Riley, Niels Peek, Tjeerd van Staa, Jamie C. Sergeant, Mamas A. Mamas, Professor Gregory Lip, Martín O ́Flaherty, Michael Barrowman, Iain Buchan, Glen P. Martin

Preprint2020

PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction

Eli Simhayev, Gilad Katz, Lior Rokach

arXiv (Cornell University)

Article2022

Competing risks analysis with missing cause-of-failure—penalized likelihood estimation of cause-specific Cox models

Serigne Lo, Jun Ma, Maurizio Manuguerra, Margarita Moreno‐Betancur, Richard A Scolyer, John F. Thompson

Article2022

Integrated prediction intervals and specific value predictions for regression problems using neural networks

Eli Simhayev, Gilad Katz, Lior Rokach

Knowledge-Based Systems

Preprint2025

Variational Representational Similarity Analysis (vRSA) for M/EEG

Karl Friston, Peter Zeidman

Calibration plots for multistate risk prediction models

Abstract

Discussion(0)

Related publications

Calibration plots for multistate risk predictions models: an overview and simulation comparing novel approaches

PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction

Competing risks analysis with missing cause-of-failure—penalized likelihood estimation of cause-specific Cox models

Integrated prediction intervals and specific value predictions for regression problems using neural networks

Variational Representational Similarity Analysis (vRSA) for M/EEG