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Researcher identifiers

Number of documents

9

Solène Desmée - Associate professor - PhD in Biostatistics

Solène Desmée is an Associate Professor in biostatistics. She teaches mathematics and biostatistics at the University Technology Institute of Tours (France) and she is a researcher at SPHERE unit since 2017. She received her PhD in biostatistics from University Paris 7 in 2016. Her research mainly focuses on the development of statistical methods for modelling of longitudinal and survival data in particular using nonlinear joint models in the field of oncology. She also takes part to the QUARTET project on methods to analyze time-to-event outcomes in cluster randomized trials and to provide appropriate measures of clustering.

 

Journal articles8 documents

  • Agnès Caille, Elsa Tavernier, Monica Taljaard, Solène Desmée. Methodological review showed that time-to-event outcomes are often inadequately handled in cluster randomized trials. Journal of Clinical Epidemiology, Elsevier, 2021, 134, pp.125 - 137. ⟨10.1016/j.jclinepi.2021.02.004⟩. ⟨hal-03185154⟩
  • Francois Mercier, Marion Kerioui, Solène Desmée, Jeremie Guedj, Oliver Krieter, et al.. Longitudinal analysis of organ-specific tumor lesion sizes in metastatic colorectal cancer patients receiving first line standard chemotherapy in combination with anti-angiogenic treatment. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2020, 47 (6), pp.613-625. ⟨10.1007/s10928-020-09714-z⟩. ⟨hal-03184393⟩
  • Marion Kerioui, Francois Mercier, Julie Bertrand, Coralie Tardivon, René Bruno, et al.. Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy. Statistics in Medicine, Wiley-Blackwell, 2020, 39 (30), pp.4853-4868. ⟨10.1002/sim.8756⟩. ⟨hal-03107209⟩
  • Coralie Tardivon, Solène Desmée, Marion Kerioui, René Bruno, Benjamin Wu, et al.. Association between tumor size kinetics and survival in urothelial carcinoma patients treated with atezolizumab: implication for patient's follow‐up. Clinical Pharmacology and Therapeutics, American Society for Clinical Pharmacology and Therapeutics, In press, Epub ahead of print. ⟨10.1002/cpt.1450⟩. ⟨inserm-02103513⟩
  • Solène Desmée, France Mentré, Christine Veyrat-Follet, Bernard Sébastien, Jérémie Guedj. Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer. BMC Medical Research Methodology, BioMed Central, 2017, 17 (1), pp.105. ⟨10.1186/s12874-017-0382-9⟩. ⟨inserm-01567365⟩
  • Solène Desmée, France Mentré, Christine Veyrat-Follet, Bernard Sébastien, Jeremie Guedj. Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients. Biometrics, Wiley, 2016, 73 (1), pp.305-312. ⟨10.1111/biom.12537⟩. ⟨inserm-01340693⟩
  • Solène Desmée, France Mentré, Christine Veyrat-Follet, Jérémie Guedj. 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. AAPS Journal, American Association of Pharmaceutical Scientists, 2015, pp.1550-7416. ⟨10.1208/s12248-015-9745-5⟩. ⟨inserm-01130444⟩
  • Brigitte Lacour, Stéphanie Goujon, Sandra Guissou, Aurélie Guyot-Goubin, Solène Desmée, et al.. Childhood cancer survival in France, 2000–2008. European Journal of Cancer Prevention, Lippincott, Williams & Wilkins, 2014, 23 (5), pp.449 - 457. ⟨10.1097/CEJ.0000000000000006⟩. ⟨hal-01801206⟩

Theses1 document

  • Solène Desmée. Modélisation conjointe de données longitudinales non-linéaires et de données de survie : Application au cancer de la prostate métastatique. Statistiques [stat]. Université Paris Diderot (Paris 7) Sorbonne Paris Cité, 2016. Français. ⟨tel-01484089⟩