Michelet, R.; Ursino, M.; Boulet, S.; Franck, S.; Casilag, F.; Baldry, M.; Rolff, J.; van Dyk, M.; Wicha, S.G.; Sirard, J.-C.; Comets, E.; Zohar, S.; Kloft, C. The Use of Translational Modelling and Simulation to Develop Immunomodulatory Therapy as an Adjunct to Antibiotic Treatment in the Context of Pneumonia. Pharmaceutics 2021, 13, 601.

Ollier A, Zohar S, Morita S,Ursino, M. Estimating Similarity of Dose-Response Relationships in Phase I Clinical Trials-Case Study in Bridging Data Package. Int J Environ Res Public Health. 2021 Feb 9;18(4):1639.

Ursino, M., Dupuis C, Buetti N, de Montmollin E, Bouadma L, Golgran-Toledano D, Ruckly S, Neuville M, Cohen Y, Mourvillier B, Souweine B, Gainnier M, Laurent V, Terzi N, Shiami S, Reignier J, Alberti C, Timsit JF, On Behalf Of The Outcomerea Study Group. Multistate Modeling of COVID-19 Patients Using a Large Multicentric Prospective Cohort of Critically Ill Patients. J Clin Med. 2021 Feb 2;10(3):544.

Ursino, M., Stallard, N. Bayesian Approaches for Confirmatory Trials in Rare Diseases: Opportunities and Challenges. Int J Environ Res Public Health. 2021 Jan 24;18(3):1022.

Dupuis C, Bouadma L, de Montmollin E, Goldgran-Toledano D, Schwebel C, Reignier J, Neuville M, Ursino, M., Siami S, Ruckly S, Alberti C, Mourvillier B, Bailly S, Grapin K, Laurent V, Buetti N, Gainnier M, Souweine B, Timsit JF. Association Between Early Invasive Mechanical Ventilation and Day-60 Mortality in Acute Hypoxemic Respiratory Failure Related to Coronavirus Disease-2019 Pneumonia. Crit Care Explor. 2021 Jan 22;3(1):e0329.

Ursino, M, Röver, C., Zohar, S., & Friede, T. (2021). Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors. The Annals of Applied Statistics, 15(1), 174-193.

Gerard E, Zohar S, Thai HT, Lorenzato C, Riviere* MK, Ursino*, M.. Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics. Biometrics. Online 2021



Ollier, A., Morita, S., Ursino*, M., and Zohar*, S. An adaptive power prior for sequential clinical trials –Application to bridging studies. Statistical methods in medical research, 2020, 29(8) 2282–2294

Boulet, S., Ursino, M., Thall, P., Landi, B., Lepère, C., Pernot, S., Burgun, A., Taieb, J., Zaanan, A., Zohar, S. and Jannot, A.S. Integration of elicited expert information via a power prior in Bayesian variable selection: application to colon cancer data. Statistical Methods in Medical Research, 2020;29(2):541-567.

Battaglia, E., Boano, V., Ursino, M., Elia, C., Russo, L., Sguazzini, C., Gasparini, M. and Grassini, M. Nissen fundoplication and dyspeptic symptoms: is the water load test useful?. Minerva gastroenterologica e dietologica, 2020 Mar;66(1):11-16.



Aupiais, C., Alberti, C., Schmitz, T., Baud, O., Ursino*, M. and Zohar*, S.  A Bayesian non-inferiority approach using experts’ margin elicitation – application to the monitoring of safety events. BMC Medical Research Methodology, 19, 187 (2019)

La Gamba, F., Jacobs, T., Geys, H., Jaki, T., Serroyen, J., Ursino, M., Russu, A. and Faes, C. Bayesian sequential integration within a preclinical pharmacokinetic and pharmacodynamic modeling framework: Lessons learned. Pharmaceutical statistics. 2019 Jul;18(4):486-506.

Schmitz, T., Alberti, C., Ursino, M., Baud, O., and Aupiais, C. Full versus half dose of antenatal betamethasone to prevent severe neonatal respiratory distress syndrome associated with preterm birth: study protocol for a randomised, multicenter, double blind, placebo-controlled, non-inferiority trial (BETADOSE). BMC Pregnancy and Childbirth, 2019, Feb 12;19(1):67.

Boulet, S., Ursino, M., Thall, P, Jannot, AS, and Zohar, S. Bayesian variable selection based on clinical relevance weights in small sample studies – Application to colon cancer. Statistics in Medicine, 2019; 38:2228–2247

Favrais, G., Ursino, M., Mouchel, C., Boivin, E., Jullien, V., Zohar, S., Saliba, E. Levetiracetam optimal dose-finding as first-line treatment for neonatal seizures occurring in the context of hypoxic-ischaemic encephalopathy (LEVNEONAT-1): study protocol of a phase II trial. BJM Open, 2019

Ursino, M., Yuan, Y., Alberti, C., Comets, E., Favrais, G., Friede, T., Lentz, F., Stallard, N. and Zohar, S. A dose finding design for seizure reduction in neonates. JRSS C, 2019 68, Part2, pp.427–444

Shing, M.L, Ursino, M., Cheung, Y.K. and Zohar, S.. Dose-finding designs for cumulative toxicities using multiple constraints. Biostatistics, 2019 Jan 1;20(1):17-29

Thall*, P., Ursino*, M., Baudouin V., Alberti, C. and Zohar, S.. Bayesian treatment comparison using parametric mixture priors computed from elicited histograms. Statistical Methods in Medical Research, 2019, Vol. 28(2) 404–418



Friede, T., Posch, M., Zohar, S., Alberti, C., Benda, N., Comets, E.,  Day, S., Dmitrienko, A., Graf, A., Kürsad Günhan, B., Hee, S.W., Lentz, F., Madan, J., Miller, F., Ondra, T., Pearce, M., Röver, C., Toumazi, A., Unkel, S., Ursino, M., Wassmer, G. and Stallard, N. Recent advances in methodology for clinical trials in small populations: the InSPiRe project. Orphanet Journal of Rare Diseases 13.1 (2018): 186.

Erhardt, E. M., Ursino, M., Biewenga, J., Jacobs, T., and  Gasparini, M. Bayesian knowledge integration for an in vitro–in vivo correlation model. Biometrical Journal. (2018) online

Toumazi, A., Comets, E., Alberti, C., Friede, T., Lentz, F., Stallard, N., Zohar*, S., Ursino*, M.. dfpk: An R-package for Bayesian dose-finding designs using pharmacokinetics (PK) for phase I clinical trials. Computer Methods and Programs in Biomedicine, Volume 157, April 2018, Pages 163-177

Petit, C., Samson, A., Morita, S., Ursino, M., Guedj, J., Jullien, V., Comets, E., and Zohar, S.. Unified approach for extrapolation and bridging of adult information in early phase dose-finding paediatric studies. Statistical Methods in Medical Research, 2018 Jun; 27(6):1860-1877

Ursino, M., & Gasparini, M.. A new parsimonious model for ordinal longitudinal data with application to subjective evaluations of a gastrointestinal disease. Statistical Methods in Medical Research, 2018 May;27(5):1376-1393



Ursino, M., Zohar, S., Lentz, F., Alberti, C., Friede, T., Stallard, N., and Comets, E. Dose-finding methods for Phase I clinical trials using pharmacokinetics in small populations. Biometrical journal, 2017 Jul; 59(4):804-825.



Di Gaetano, C., Matullo, G., Piazza, A., Ursino, M., and Gasparini, M. A Proximity-Based Method to Identify Genomic Regions Correlated with a Continuously Varying Environmental Variable. Evolutionary Bioinformatics online, 2013: vol. 9, pp. 29-42.