Multivariate joint model under competing risks to predict death of hospitalized patients for SARS‐CoV‐2 infection

Backward joint model and dynamic prediction of survival with multivariate longitudinal data

(2021) Fan Shen et al.   STATISTICS IN MEDICINE

D‐dimer levels on admission to predict in‐hospital mortality in patients with Covid‐19

(2020) Litao Zhang et al.   JOURNAL OF THROMBOSIS AND HAEMOSTASIS

Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19

(2020) Wenhua Liang et al.   JAMA Internal Medicine

Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy

(2020) Marion Kerioui et al.   STATISTICS IN MEDICINE

Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score

(2020) Stephen R Knight et al.   BMJ-British Medical Journal

Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data

(2015) Eleni-Rosalina Andrinopoulou et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

(2014) Paul Blanche et al.   BIOMETRICS

On the validity of time-dependent AUC estimators

(2013) M. Schmid et al.   BRIEFINGS IN BIOINFORMATICS

Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks

(2013) Paul Blanche et al.   STATISTICS IN MEDICINE