Applied Surrogate Endpoint Evaluation Methods With Sas and R

An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment's efficacy. When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate endpoint that can be measured in a more convenient or cost-effective way. This book focuses on the use of surrogate endpoint evaluation methods in practice, using SAS and R.

List of contents

Introductory Material. Introduction. Notation and Example Datasets. The History of Surrogate Endpoint Validation. Contemporary Surrogate Endpoint Evaluation Methods. Multiple-Trial Surrogate Endpoint Evaluation Methods. Two Continuous Outcomes. Two Survival Endpoints. Two Categorical Endpoints. A Categorical and a Continuous Endpoint. A Survival and a Continuous Endpoint. A Survival and a Categorical Endpoint. Two Longitudinal Endpoints. A Longitudinal and a Survival Endpoint. Additional Considerations and Further Topics. Software Details. An Alternative Surrogate Endpoint Evaluation Framework: Causal-Inference. Surrogate Endpoint Evaluation Methods in Small Samples. Construction and Evaluation of Genetic Biomarkers in Early Drug Development Experiments. Additional Considerations.

About the author

Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst

Summary

When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate endpoint that can be measured in a more convenient or cost-effective way. This book focuses on the use of surrogate endpoint evaluation methods in practice, using SAS and R.

Report

"This is a timely text. The number of published studies using surrogate endpoints has increased dramatically since the early work of the 1980s; however, there is a dearth of available texts or software on this topic. Anyone with an interest in surrogate endpoint evaluation would benefit from this text."
~Statistics in Medicine

Product details

• Authors: Ariel Alonso, Ariel (Maastricht University Alonso, Ariel Bigirumurame Alonso, Alonso Ariel, Theophile Bigirumurame, Bigirumurame Theophile, Tomasz Burzykowski, Burzykowski Tomasz, Marc Buyse, Buyse Marc, Wim van der Elst, Geert Molenberghs, Molenberghs Geert, Leacky Muchene, Muchene Leacky, Nolen Joy Perualila, Perualila Nolen Joy, Ziv Shkedy, Shkedy Ziv, Wim Van der Elst, Van der Elst Wim
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 18.12.2020
• EAN: 9780367736552
• ISBN: 978-0-367-73655-2
• No. of pages: 396
• Series: Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Medical research, MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, Probability and statistics, Epidemiology and Medical statistics, Clinical Trials