Applied Surrogate Endpoint Evaluation Methods with SAS and R

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

Offers the reader a non-technical overview of contemporary surrogate endpoint evaluation methods with a focus on the meta-analytic and information-theoretic methods
Keeps theory to a minimum and omits statistical details to the extent possible
Focuses on providing a general understanding of the different methods, their advantages and disadvantages and their use in practical settings with an emphasis on the interpretation of the results
Accompanies the book with a collection of SAS macros and an R library
Summary

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.