An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework

Alvaro J. Flórez, Geert Molenberghs, Wim Van der Elst, Ariel Alonso

Type: Article

Publication Date: 2022-04-04

Citations: 8

DOI: https://doi.org/10.1016/j.csda.2022.107494

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Computational Statistics & Data Analysis - View
Lirias (KU Leuven) - View - PDF

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+	Statistics and Causal Inference: Comment: Which Ifs Have Causal Answers	1986	Donald B. Rubin
+	Statistics and Causal Inference	1986	Paul W. Holland
+	Biomarkers and surrogate end points—the challenge of statistical validation	2010	Marc Buyse Daniel J. Sargent Axel Grothey Alastair Matheson Aimery de Gramont
+	Relative Entropy Measures of Multivariate Dependence	1989	Harry Joe
+	Joint density of correlations in the correlation matrix with chordal sparsity patterns	2014	Dorota Kurowicka
+	An informational measure of correlation	1957	E. H. Linfoot
+	Generating random correlation matrices based on vines and extended onion method	2009	Daniel Lewandowski Dorota Kurowicka Harry Joe
+	Generating random correlation matrices based on partial correlations	2005	Harry Joe