Applied Surrogate Endpoint Evaluation Methods with SAS and R

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

December 13, 2017 by Chapman and Hall/CRC
Reference - 374 Pages
ISBN 9781482249361 - CAT# K23717
Series: Chapman & Hall/CRC Biostatistics Series


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  • 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


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.


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