An information-theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: application to vaccine evaluation

DOI10.1002/sim.9997zbMath1548.62264MaRDI QIDQ6630352

Andrea Callegaro, Florian Stijven, Ingrid Van Keilegom, Geert Verbeke, Geert Molenberghs, Wim Van Der Elst, Fenny Ong, Ariel Alonso Abad

Publication date: 31 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

information theorysurrogate endpointscausal inferencecorrelates protection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

This page was built for publication: An information-theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: application to vaccine evaluation