Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients-Reference-Cited by-同舟云学术

Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients

Published:2016-05-05 Issue:1 Volume:73 Page:305-312
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Desmée Solène¹²,Mentré France¹²,Veyrat-Follet Christine³,Sébastien Bernard⁴,Guedj Jérémie¹²

Affiliation:

1. INSERM, IAME; UMR 1137, F-75018 Paris France

2. Université Paris Diderot; IAME, UMR 1137, Sorbonne Paris Cité, F-75018 Paris France

3. Drug Disposition, Disposition Safety and Animal Research Department; Sanofi, Alfortville France

4. Biostatistics and Programming; Sanofi, Chilly-Mazarin France

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12537/fullpdf

Reference30 articles.

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3. 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;Desmée;The AAPS Journal,2015

4. Garcia-Hernandez , A. Rizopoulos , D. 2015 Available at www.jm-macro.com

5. Joint modeling of the clinical progression and of the biomarkers’ dynamics using a mechanistic model;Guedj;Biometrics,2011

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