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Applied Surrogate Endpoint Evaluation Methods with SAS and R Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)

Applied Surrogate Endpoint Evaluation Methods with SAS and R By Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)

Applied Surrogate Endpoint Evaluation Methods with SAS and R by Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)

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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.

Applied Surrogate Endpoint Evaluation Methods with SAS and R Summary

Applied Surrogate Endpoint Evaluation Methods with SAS and R by Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)

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.

Applied Surrogate Endpoint Evaluation Methods with SAS and R Reviews

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

About Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)

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

Table 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.

Additional information

NPB9781482249361
9781482249361
1482249367
Applied Surrogate Endpoint Evaluation Methods with SAS and R by Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)
Ariel Alonso (Maastricht University, Maastricht, Limburg, The Netherlands)
Chapman & Hall/CRC Biostatistics Series
New
Hardback
Taylor & Francis Inc
2016-12-08
374
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Applied Surrogate Endpoint Evaluation Methods with SAS and R