Using earlier measures in a longitudinal sequence as a potential surrogate for a later one
type: Item
instance of: scholarly article
title: Using earlier measures in a longitudinal sequence as a potential surrogate for a later one
zbMATH Open document ID: 1464.62143
author: Assam Pryseley
author: Abel Tilahun
author: Ariel Alonso
author: Geert Molenberghs
published in: Computational Statistics and Data Analysis
publication date: 2010-04-06T00:00:00Z
full work available at URL: http://hdl.handle.net/1942/10891
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5689677
MaRDI profile type: Publication
OpenAlex ID: W2039690049
cites work: Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements
cites work: Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements: Canonical Correlation Approach
cites work: Approximate Inference in Generalized Linear Mixed Models
cites work: The evaluation of surrogate endpoints.
cites work: The validation of surrogate endpoints in meta-analyses of randomized experiments
cites work: General class of covariance structures for two or more repeated factors in longitudinal data analysis
cites work: Q3960954
cites work: Longitudinal data analysis using generalized linear models
cites work: Models for discrete longitudinal data.
cites work: Simplified hierarchical linear models for the evaluation of surrogate endpoints
cites work: Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS
cites work: Linear mixed models for longitudinal data
DOI: 10.1016/J.CSDA.2009.11.024
description: scientific article; zbMATH DE number 5689677