Surrogate Endpoint Evaluation Methods
Applied Surrogate Endpoint Evaluation Methods with SAS and R co-authored by IDDI and edited by Chapman and Hall/CRC. Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene,
Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst
Co-authored by IDDI
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.
Features
- 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
