UMR INSERM 1246 - SPHERE
MethodS in Patients-centered outcomes
and HEalth ResEarch

INSERM Univ Nantes Univ Tours
EA4275-SPHERE
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Last publications

01 décembre 2020 Chauchard E, Mariez J, Grall-Bronnec M, Challet G (2020) Buying-Shopping Disorder among Women: The Role of Vulnerability to Marketing, Buying Motives, Impulsivity, and Self-Esteem. Eur Addict Res: Online.

17 novembre 2020 Challet G, Grall-Bronnec M, Saillard A, Leboucher J, Donnio Y, Pere M, Caillon J (2020) Impact of Wagering Inducements on the Gambling Behaviors, Cognitions, and Emotions of Online Gamblers: A Randomized Controlled Study. Front. Psychiatry, 11: 593789.

02 octobre 2020 Jobert A, Laforgue E, Grall-Bronnec M, Rousselet M, Pere M, Jolliet P, FAN network , Feuillet F, Victorri-Vigneau C (2020) Benzodiazepine withdrawal in older people: what is the prevalence, what are the signs, and which patients? European journal of clinical pharmacology. Eur J Clin Pharmacol: Online.

02 septembre 2020 Devos G, Clark L, Bowden-Jones H, Grall-Bronnec M, Challet G, Khazaal Y, Maurage P, Billieux J (2020) The joint role of impulsivity and distorted cognitions in recreational and problem gambling: A cluster analytic approach. Journal of Affective Disorders(127): 473-482.

29 août 2020 Victorri-Vigneau C, Laforgue E, Grall-Bronnec M, Guillou-Landreat M, Rousselet M, Guerlais M, Feuillet F, Jolliet P, FAN network (2020) Are seniors dependent on benzodiazepines? A national clinical survey of substance use disorder . Clinical Pharmacology and Therapeutics: .

Updated

17 décembre 2020

Florence Gillaizeau


Situation

Poste : Post-doctorante
Institution : EA 4275 - Université de Nantes
Email : florence.gillaizeau@univ-nantes.fr
Email : f.gillaizeau@ucl.ac.uk


Expériences

I do post-doctoral research in Biostastics with the French Laboratory EA 4275 SPHERE (methodS in Patient-centered outcomes and HEalth ResEarch, Nantes University, www.sphere-nantes.fr) and I am a visiting research associate in the Department of Statistical Science, University College London (https://www.ucl.ac.uk/statistics/people/florence-gillaizeau). I completed a PhD in Biostatistics at the University of Nantes in 2015 on semi-Markov multistate models for the prognosis of patients with chronic diseases. I am currently working on evaluating prognostic accuracy of biomarkers under competing risk and continues my research on semi-Markov models. My research interests are survival analysis, multi-state models, propensity scores, meta-analyses.


Publications scientifiques

Articles dans une revue internationale

  • 1. Chatton A, Le Borgne F, Leyrat C, Gillaizeau F, Rousseau C, Barbin L, Laplaud D, Léger M, Giraudeau B, Foucher Y (2020) G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study. Scientific Reports, 10(1): 9219.

  • 2. Gillaizeau F, Senage T, Le Borgne F, Le Tourneau T, Roussel J, Leffondrè K, Porcher R, Giraudeau B, Dantan E, Foucher Y (2018) Inverse probability weighting to control confounding in an illness-death model for interval-censored data. Stat Med, 37(8): 1245-1258.

  • 3. Le Borgne F, Combescure C, Gillaizeau F, Giral M, Chapal M, Giraudeau B, Foucher Y (2017) Standardized and weighted time-dependent ROC curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors. Statistical Methods in Medical Research: 962280217702416. doi: 10.1177/0962280217702416.

  • 4. Querard AH, Foucher Y, Combescure C, Dantan E, Larmet D, Lorent M, Pouteau LM, Giral M, Gillaizeau F (2016) Comparison of survival outcomes between Expanded Criteria Donors and Standard Criteria Donors kidney transplant recipients: a systematic review and meta-analysis. Transplant International, 29(4): 403-15.

  • 5. Le Fur A, Fournier MC, Gillaizeau F, Masson D, Giral M, Cariou B, Cantarovich D, Dantal J (2015) Vitamin D deficiency is an independent risk factor for PTDM after kidney transplantation.. Transplant international: .

  • 6. Gillaizeau F, Dantan E, Giral M, Foucher Y (2015) A multistate additive relative survival semi-Markov model. Statistical Methods in Medical Research, 26(4): 1700-1711.

Articles dans une revue nationale

  • 1. Gillaizeau F, Giral M, Dantan E, Dragun D, Soulillou JP, Foucher Y (2014) Multi-state analysis of kidney transplant recipients outcome: a semi-Markov model for studying the role of pre-transplant sensitization against Angiotensin II Type 1 receptor. Journal de la Société Française de Statistique , 155(1): 117-133.


Doctorat

  • Florence Gillaizeau : Développement et validation de modèles multi-états semi-markovien pour le pronostic de patients atteints de maladies chroniques: application à la cohorte DIVAT de patients transplantés rénaux (soutenue le 15 octobre 2015)


Encadrement de stages

  • Marie-Cécile Fournier : association entre le taux de vitamine D à la greffe et le risque de complications chez les transplantés rénaux : analyse de la cohorte observationnelle DIVAT. (2013)


Communications scientifiques

Communications orales dans un colloque international (idpers=603)

  • 1. Gillaizeau F., Dantan E., Giral M., Foucher Y. Additive relative survival multistate semi-Markov model. International Society for Clinical Biostatistics, 35th Annual Conference, Vienna, Austria, 2014.

  • 2. Dantal J., Le Fur A., Fournier M.C., Masson D., Gillaizeau F., Giral M. Vitamin D deficiency is a new independent risk factor of NODAT for kidney transplant recipients . World transplant congress, 26-31 juillet 2014, San Francisco, Transplantation 2014;98 Suppl 1:94-94, 2014.

  • 3. Le Fur A., Fournier M.C., Masson D., Gillaizeau F., Giral M., Dantal J. Vitamin D as novel risk factor of NODAT. Société Francophone de Transplantation, 11-14 décembre 2013, Marrakech, Transplant International 2013;26 Suppl 3:19-19, 2013.

  • 4. Gillaizeau F., Foucher Y., Dragun D., Soulillou J.P., Dufay A., Van Huyen J., Renaudin K., Moreau A., Dantan E., Giral M. A multistate model to investigate the relationship between pre-graft level of Angiotensin II Type 1 Receptor (AT1R) antibodies and kidney transplant recipients outcome. American Transplant Congress, Seattle, American Journal of Transplantation 2013;13 Suppl 5:194-194, 2013.

  • 5. Gillaizeau F., Dragun D., Soulillou J.P., Dufay A., Van Huyen J., Renaudin K., Moreau A., Giral M., Foucher Y. A Semi-Markov model with Generalized Weibull distribution for multistate data in kidney transplant recipients. Congrès Annuel de la Société Francophone de Transplantation, 2012, Nantes, Transplant International 2012;25 Suppl 2:34-34, 2012.

  • 6. Gillaizeau F., Giral M., Dantan E., Dragun D., Soulillou J.P., Foucher Y. A Semi-Markov model with Generalized Weibull distribution for multistate data in kidney transplant recipients. Journées 2012 de la Société Française de Biométrie, Paris, 2012.

Poster dans un colloque international (idpers=603)

  • 1. Gillaizeau F., Le Borgne F., Rousseau C., Leyrat C., Giral M., Chapal M., Barbin L., Laplaud D., Giraudeau B., Foucher Y. The traditional multivariable logistic regression compared to propensity score: a study to put an end to preconceived ideas. 4th annual meeting of the UK Causal Inference Meeting, 13th-15th April 2016, London, 2016.

  • 2. Querard A.H., Gillaizeau F., Couvrat-Desvergnes G., Dantal J., Daguin P., Le Floch S., Castagnet S., Brouard S., Foucher Y., Giral M. . American Transplant Congress, May 2-6 2015, Philadelphia, 2015.

  • 3. Querard A.H., Foucher Y., Combescure C., Dantan E., Larmet D., Lorent M., Pouteau L.M., Giral M., Gillaizeau F. Comparison of survival outcomes between Expanded Criteria Donors and Standard Criteria Donors kidney transplant recipients: a systematic review and meta-analysis. American Transplant Congress, May 2-6 2015, Philadelphia, 2015.

  • 4. Querard A.H., Gillaizeau F., Pouteau L.M., Foucher Y., Larmet D., Dantan E., Lorent M., Combescure C., Giral M. Expanded Criteria Donor in Kidney Transplantation : a meta-analysis. European Society for Organ Transplantation, 17-19 October 2014, Madrid, 2014.

Communications orales dans un colloque national (idpers=603)

  • 1. Chatton A., Le Borgne F., Gillaizeau F., Rousseau C., Leyrat C., Barbin L., Laplaud D., Giraudeau B., Foucher Y. La G-computation et les méthodes basées sur la théorie du score de propension dans le cadre d'un critère de jugement binaire : une étude comparative afin d'évaluer leurs performances.. Journées 2018 du GDR Statistique & Santé et de la Société Française de Biométrie (SFB). Nantes, 2018., 2018.

  • 2. Le Borgne F., Combescure C., Gillaizeau F., Giral M., Chapal M., Giraudeau B., Foucher Y. Courbes ROC standardisées dépendantes du temps pour évaluer les capacités pronostiques inhérentes à un marqueur en tenant compte des facteurs de confusion.. EPICLIN 2016 Strasbourg, 2016.

  • 3. Gillaizeau F., Le Borgne F., Rousseau C., Leyrat C., Giral M., Chapal M., Barbin L., Laplaud D., Giraudeau B., Foucher Y. Régression logistique multivariée traditionnelle contre scores de propension : une étude pour mettre fin aux idées préconçues. 10e conférence francophone d'épidémiologie clinique (EPICLIN 2016) et 23e journées des statisticiens des centres de lutte contre le cancer, 25-27 mai 2016, Strasbourg, 2016.

  • 4. Gillaizeau F., Senage T., Le Tourneau T., Roussel J., Foucher Y. La détérioration de bioprothèse valvulaire : un problème majeur de santé publique largement sous-estimé par la non prise en compte de la censure par intervalle et l’évolution multi-états de la maladie. 9ème Conférence Francophone d’Epidémiologie Clinique (EPICLIN), 20-22 mai 2015, Montpellier, 2015.

  • 5. Fournier M.C., Gillaizeau F., Le Fur A., Dantal J., Foucher Y. Construction et estimation des capacités d’un score pronostique : intérêts de la pénalisation de LASSO et de l’estimateur bootstrap 0.632+ appliqués aux courbes ROC dépendantes du temps. 46e Journées de Statistique de la SFdS, 2-6 juin 2014, Rennes, 2014.

  • 6. Gillaizeau F., Dantan E., Giral M., Foucher Y. A multistate additive relative survival semi-Markov model. 46e Journées de Statistique de la SFdS, 2-6 juin 2014, Rennes, 2014.



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