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Penalized regression calibration: a method for the prediction of
  survival outcomes using complex longitudinal and high-dimensional data
v1v2v3v4 (latest)

Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data

Statistics in Medicine (Stat. Med.), 2021
12 January 2021
M. Signorelli
P. Spitali
C. Szigyarto
The MARK-MD Consortium
R. Tsonaka
ArXiv (abs)PDFHTML

Papers citing "Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data"

3 / 3 papers shown
SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology
SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology
Paul Minchella
Loïc Verlingue
Stéphane Chrétien
Rémi Vaucher
Guillaume Metzler
213
0
0
25 Jul 2025
pencal: an R Package for the Dynamic Prediction of Survival with Many
  Longitudinal Predictors
pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal PredictorsThe R Journal (JR), 2023
Mirko Signorelli
139
5
0
27 Sep 2023
Random survival forests with multivariate longitudinal endogenous
  covariates
Random survival forests with multivariate longitudinal endogenous covariatesStatistical Methods in Medical Research (SMMR), 2022
A. Devaux
C. Helmer
Robin Genuer
C. Proust-Lima
104
17
0
11 Aug 2022
1
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