S. Zohar

Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

J. L. Rosenberger, Kelly Van Lancker, N. Geller, 2022, 2206.11238.

Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

J. L. Rosenberger, Kelly Van Lancker, N. Geller, 2022, Statistics in Biopharmaceutical Research.

Bayesian framework for multi-source data integration-Application to human extrapolation from preclinical studies

C. Kloft, M. Ursino, E. Comets, 2022, Statistical methods in medical research.

Competing Risks Model with Short-Term and Long-Term Covariate Effects for Cancer Studies

A. Vidyashankar, S. Katsahian, G. Diao, 2020, Statistics in Biosciences.

Using dichotomized survival data to construct a prior distribution for a Bayesian seamless Phase II/III clinical trial

N. Stallard, M. Ursino, F. Montestruc, 2023, Statistical methods in medical research.

Rapid access to innovative medicinal products while ensuring relevant health technology assessment. Position of the French National Authority for Health

S. Chevret, B. Falissard, F. Naudet, 2023, BMJ evidence-based medicine.

Enriching single-arm clinical trials with external controls: possibilities and pitfalls

S. Chevret, R. Thiébaut, E. Lengliné, 2022, Blood advances.

Integration of elicited expert information via a power prior in Bayesian variable selection: Application to colon cancer data

Moreno Ursino, Sarah Zohar, Bruno Landi, 2019, Statistical methods in medical research.

7 Incorporating pharmacokinetic information in phase I studies in small populations

T. Friede, N. Stallard, M. Ursino, 2015 .