Statistical evaluation of surrogate endpoints with examples from cancer clinical trials

M Buyse, G Molenberghs, X Paoletti, K Oba… - Biometrical …, 2016 - Wiley Online Library
A surrogate endpoint is intended to replace a clinical endpoint for the evaluation of new
treatments when it can be measured more cheaply, more conveniently, more frequently, or …

[图书][B] Handbook of meta-analysis

CH Schmid, T Stijnen, I White - 2020 - books.google.com
Meta-analysis is the application of statistics to combine results from multiple studies and
draw appropriate inferences. Its use and importance have exploded over the last 25 years …

Self-organisation, adaptability, organisational networks and inter-organisational coordination: empirical evidence from humanitarian organisations in Uganda

H Mutebi, JM Ntayi, M Muhwezi… - Journal of Humanitarian …, 2020 - emerald.com
Purpose To coordinate humanitarian organisations with different mandates that flock the
scenes of disasters to save lives and respond to varied needs arising from the increased …

Statistical approaches for evaluating surrogate outcomes in clinical trials: a systematic review

H Ensor, RJ Lee, C Sudlow, CJ Weir - Journal of …, 2016 - Taylor & Francis
The use of surrogate outcomes that predict treatment effect on an unobserved true outcome
may have substantial economic and ethical advantages, through reducing the length and …

[图书][B] Applied surrogate endpoint evaluation methods with SAS and R

A Alonso, T Bigirumurame, T Burzykowski, M Buyse… - 2016 - api.taylorfrancis.com
Applied Surrogate Endpoint Evaluation Methods with SAS and R Page 1 Page 2 Ariel Alonso
Theophile Bigirumurame Tomasz Burzykowski Marc Buyse Geert Molenberghs Leacky …

On the relationship between the causal‐inference and meta‐analytic paradigms for the validation of surrogate endpoints

A Alonso, W Van der Elst, G Molenberghs, M Buyse… - …, 2015 - Wiley Online Library
The increasing cost of drug development has raised the demand for surrogate endpoints
when evaluating new drugs in clinical trials. However, over the years, it has become clear …

Surrogate marker evaluation from an information theory perspective

A Alonso, G Molenberghs - Biometrics, 2007 - academic.oup.com
The last 20 years have seen lots of work in the area of surrogate marker validation, partly
devoted to frame the evaluation in a multitrial framework, leading to definitions in terms of …

Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach

A Pryseley, C Tchonlafi, G Verbeke… - … Statistics & Data Analysis, 2011 - Elsevier
The occurrence of negative variance components is a reasonably well understood
phenomenon in the case of linear models for hierarchical data, such as variance-component …

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

L Talero-Sarmiento, M Gonzalez-Capdevila… - Big Data and Cognitive …, 2024 - mdpi.com
This study explores the implementation of the analytic hierarchy process in usability
evaluations, specifically focusing on user interface assessment during software …

A unified framework for the evaluation of surrogate endpoints in mental-health clinical trials

G Molenberghs, T Burzykowski… - … Methods in Medical …, 2010 - journals.sagepub.com
For a number of reasons, surrogate endpoints are considered instead of the so-called true
endpoint in clinical studies, especially when such endpoints can be measured earlier …