Work

Leveraging external data in the design and analysis of clinical trials in neuro-oncology

Year: 2021

Type: article

Source: The Lancet Oncology

DOI: 10.1016/s1470-2045(21)00488-5

Authors: Rifaquat Rahman, Steffen Ventz, Jon McDunn, Bill Louv, Irmarie Reyes-Rivera, Mei-Yin C Polley, Fahar Merchant, Lauren E Abrey, Joshua E Allen, Laura K Aguilar, Estuardo Aguilar-Cordova, David Arons, Kirk Tanner, Stephen Bagley, Mustafa Khasraw, Timothy Cloughesy, Patrick Y Wen, Brian M Alexander, Lorenzo Trippa

Institutions: Harvard University, Dana-Farber/Harvard Cancer Center, Dana-Farber Brigham Cancer Center, Dana-Farber Cancer Institute, Project Data Sphere, Roche (Switzerland), University of Chicago, Novartis (Switzerland), Chimerix (United States), Candel Therapeutics (United States), National Brain Tumor Society, University of Pennsylvania, Duke Medical Center, University of California, Los Angeles, Center for Neuro-Oncology, Foundation Medicine (United States)

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: green

Funders: Wellcome Trust, National Institutes of Health, U.S. Food and Drug Administration, National Cancer Institute, U.S. National Library of Medicine

Awards: Statistical Methods and Validation Analyses for the Integration of External Data in Clinical Trials, G517447496, G7248432587, UCLA SPORE in Brain Cancer

OpenAlex ID: W3202623877

FWCI: 11.18

Cites: 100

Cited by: 87

Related to: 10