An information-theoretic approach to surrogate-marker evaluation with failure time endpoints

DOI10.1007/s10985-010-9185-6zbMath1322.62321OpenAlexW2152030212WikidataQ85106724 ScholiaQ85106724MaRDI QIDQ746103

Assam Pryseley, Abel Tilahun, Ariel Alonso, Geert Molenberghs

Publication date: 15 October 2015

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-010-9185-6

zbMATH Keywords

information theorycensoringcancerlikelihood reduction factorsurrogate marker

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items

A study of R² measure under the accelerated failure time models

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Validation of Surrogate end Points in Multiple Randomized Clinical Trials with Failure Time end Points
• A Mathematical Theory of Communication
• Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS
• Analysis of multivariate survival data
• The evaluation of surrogate endpoints.
• The frailty model.
• The meta-analytic framework for the evaluation of surrogate endpoints in clinical trials
• Nonparametric Estimation from Incomplete Observations
• Prentice's Approach and the Meta-Analytic Paradigm: A Reflection on the Role of Statistics in the Evaluation of Surrogate Endpoints
• Validation of a longitudinally measured surrogate marker for a time-to-event endpoint
• Information gain and a general measure of correlation
• Measures of dependence for censored survival data
• Partial likelihood
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Simplified hierarchical linear models for the evaluation of surrogate endpoints
• Proportional Hazards Estimate of the Conditional Survival Function
• The underlying structure of nonnested hypothesis tests
• A. R.²type measure of dependence for proportional hazards models
• Surrogate Marker Evaluation from an Information Theory Perspective
• Joint modelling of longitudinal measurements and event time data
• On Information and Sufficiency