Joint modeling under competing risks: Application to survival prediction in patients admitted in Intensive Care Unit for sepsis with daily Sequential Organ Failure Assessment score assessments-Reference-Cited by-同舟云学术

Joint modeling under competing risks: Application to survival prediction in patients admitted in Intensive Care Unit for sepsis with daily Sequential Organ Failure Assessment score assessments

Published:2022-10-06 Issue:11 Volume:11 Page:1472-1484
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacom & Syst Pharma

Author:

Lavalley‐Morelle Alexandra¹,Timsit Jean‐François¹²,Mentré France¹³^ORCID,Mullaert Jimmy¹³,

Affiliation:

1. Université Paris Cité, IAME, INSERM Paris France

2. Service de Réanimation Médicale et Infectieuse AP‐HP, Hôpital Bichat Paris France

3. Département Epidémiologie Biostatistiques et Recherche Clinique AP‐HP, Hôpital Bichat Paris France

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12856

Reference34 articles.

1. Nonlinear Mixed-Effect Models for Prostate-Specific Antigen Kinetics and Link with Survival in the Context of Metastatic Prostate Cancer: a Comparison by Simulation of Two-Stage and Joint Approaches

2. Individual dynamic predictions using landmarking and joint modelling: Validation of estimators and robustness assessment

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

4. A Note on Including Time-dependent Covariate in Regression Model for Competing Risks Data

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