Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy-Reference-Cited by-同舟云学术

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

Author:

Kerioui Marion¹²³^ORCID,Mercier Francois⁴^ORCID,Bertrand Julie¹,Tardivon Coralie¹,Bruno René⁵,Guedj Jérémie¹,Desmée Solène²

Affiliation:

1. Université de Paris, INSERM, IAME F‐75006 Paris France

2. Université de Tours, Université de Nantes, INSERM SPHERE, UMR 1246 Tours France

3. Institut Roche Boulogne‐Billancourt France

4. Biostatistics ‐ Roche Innovation Center Basel Basel Switzerland

5. Genentech/Roche ‐ Service de Pharmacologie Clinique Marseille France

Funder

Association Nationale de la Recherche et de la Technologie

Genentech

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

Reference38 articles.

1. Joint modeling of longitudinal and time‐to‐event data: an overview;Tsiatis AA;Stat Sin,2004

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