TY  - BOOK
AU  - Alonso, Ariel
AU  - Bigirumurame, Theophile
AU  - Burzykowski, Tomasz
AU  - Buyse, Marc
AU  - Molenberghs, Geert
AU  - Muchene, Leacky
AU  - Perualila, Nolen Joy
AU  - Shkedy, Ziv
AU  - Elst, Wim Van der
TI  - Applied surrogate endpoint evaluation methods with SAS and R
SN  - 9781482249361
U1  - 610.72 
PY  - 2017///
CY  - Boca Raton
PB  - CRC Press
KW  - Medicine - Research methodology
KW  - R (Computer program language)
KW  - SAS (Computer file)
KW  - Clinical trials - Statistical methods
N1  - Table of Contents

Introductory Material. Introduction. Notation and Example Datasets. The History of Surrogate Endpoint Validation. Contemporary Surrogate Endpoint Evaluation Methods. Multiple-Trial Surrogate Endpoint Evaluation Methods. Two Continuous Outcomes. Two Survival Endpoints. Two Categorical Endpoints. A Categorical and a Continuous Endpoint. A Survival and a Continuous Endpoint. A Survival and a Categorical Endpoint. Two Longitudinal Endpoints. A Longitudinal and a Survival Endpoint. Additional Considerations and Further Topics. Software Details. An Alternative Surrogate Endpoint Evaluation Framework: Causal-Inference. Surrogate Endpoint Evaluation Methods in Small Samples. Construction and Evaluation of Genetic Biomarkers in Early Drug Development Experiments. Additional Considerations

N2  - 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.

https://www.crcpress.com/Applied-Surrogate-Endpoint-Evaluation-Methods-with-SAS-and-R/Alonso-Bigirumurame-Burzykowski-Buyse-Molenberghs-Muchene-Perualila-Shkedy-Elst/p/book/9781482249361
ER  -