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 …

Reporting of surrogate endpoints in randomised controlled trial reports (CONSORT-Surrogate): extension checklist with explanation and elaboration

AM Manyara, P Davies, D Stewart, CJ Weir, AE Young… - bmj, 2024 - bmj.com
Randomised controlled trials commonly use surrogate endpoints to substitute for a target
outcome (outcome of direct interest and relevance to trial participants, clinicians, and other …

[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 …

[图书][B] The evaluation of surrogate endpoints

T Burzykowski, M Buyse, G Molenberghs - 2005 - Springer
Both humanitarian and commercial considerations have spurred intensive search for
methods to reduce the time and cost required to develop new therapies. The identification …

Informed decision‐making: Statistical methodology for surrogacy evaluation and its role in licensing and reimbursement assessments

CJ Weir, RS Taylor - Pharmaceutical Statistics, 2022 - Wiley Online Library
The desire, by patients and society, for faster access to therapies has driven a long tradition
of the use of surrogate endpoints in the evaluation of pharmaceuticals and, more recently …

Reporting of surrogate endpoints in randomised controlled trial protocols (SPIRIT-Surrogate): extension checklist with explanation and elaboration

AM Manyara, P Davies, D Stewart, CJ Weir, AE Young… - bmj, 2024 - bmj.com
Randomised controlled trials often use surrogate endpoints to substitute for a target outcome
(an outcome of direct interest and relevance to trial participants, clinicians, and other …

Random effects models for longitudinal data

G Verbeke, G Molenberghs, D Rizopoulos - Longitudinal research with …, 2010 - Springer
Mixed models have become very popular for the analysis of longitudinal data, partly
because they are flexible and widely applicable, partly also because many commercially …

The validation of surrogate end points by using data from randomized clinical trials: a case-study in advanced colorectal cancer

T Burzykowski, G Molenberghs… - Journal of the Royal …, 2004 - academic.oup.com
In many therapeutic areas, the identification and validation of surrogate end points is of
prime interest to reduce the duration and/or size of clinical trials. Buyse and co-workers 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 …