Proportion of treatment effect mediated by surrogate endpoints

DOI10.1002/bimj.202000119zbMath1523.62144OpenAlexW3099018603WikidataQ102130488 ScholiaQ102130488MaRDI QIDQ6067311

Yongming Qu, Manabu Kuroki, Ryusei Shingaki

Publication date: 16 November 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.202000119

zbMATH Keywords

proportion explained (PE)proportion of information gain (PIG)proportion of treatment effect captured by candidate surrogate endpoints (PCS)proportion of treatment effect explained (PTE)surrogacy measure

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Causal measures of the treatment effect captured by candidate surrogate endpoints
• The evaluation of surrogate endpoints.
• Statistical evaluation of surrogate endpoints with examples from cancer clinical trials
• Surrogate Measures and Consistent Surrogates
• A Measure of the Proportion of Treatment Effect Explained by a Surrogate Marker
• Prentice's Approach and the Meta-Analytic Paradigm: A Reflection on the Role of Statistics in the Evaluation of Surrogate Endpoints
• Bounds on Direct Effects in the Presence of Confounded Intermediate Variables
• Related Causal Frameworks for Surrogate Outcomes
• Information gain and a general measure of correlation
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• Quantifying the Effect of the Surrogate Marker by Information Gain
• On Information and Sufficiency

This page was built for publication: Proportion of treatment effect mediated by surrogate endpoints