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By: Ariel Alonso (Author) , Geert Molenberghs (Author) , Leacky Muchene (Author) , Marc Buyse (Author) , Nolen Joy Perualila (Author) , Theophile Bigirumurame (Author) , Tomasz Burzykowski (Author) , Wim Van der Elst (Author) , Ziv Shkedy (Author)
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An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatments 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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