Work

Hierarchical endpoints and win statistics for geromedicine trials

Year: 2026

Type: review

Source: Nature Aging

DOI: 10.1038/s43587-026-01158-3

Authors: Mahmoud Abdellatif, Yevgeniy Kim, Guido Kroemer

Institutions: Inserm, Medical University of Graz, Université Paris Cité, Sorbonne Université, Centre de Recherche des Cordeliers, La Ligue Contre le Cancer, BioTechMed-Graz, Centre National de la Recherche Scientifique, Université Paris-Saclay, Institut Gustave Roussy, Assistance Publique – Hôpitaux de Paris, Hôpital Européen Georges-Pompidou, Analyse moléculaire, modélisation et imagerie de la maladie cancéreuse

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Austrian Science Fund

Awards: G1059098984, Ener-LIGHT

OpenAlex ID: W7165748068

FWCI:

Cites: 78

Cited by:

Related to: 10