Applied Surrogate Endpoint Evaluation Methods with SAS and R
-
- $89.99
-
- $89.99
Publisher Description
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.
Medical Risk Prediction Models
2021
Advanced Statistical Analytics for Health Data Science with SAS and R
2025
R for Health Technology Assessment
2025
Design and Analysis of Clinical Trials with Time-to-Event Endpoints
2009
Generalized Linear Models
2000
Statistics In the Pharmaceutical Industry
2019