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Applied Surrogate Endpoint Evaluation Methods with SAS and R

2016-11-30 Mathematics
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Release : 2016-11-30
Genre : Mathematics
Kind : eBook
Book Rating : 375/5 ( reviews)

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Book Synopsis Applied Surrogate Endpoint Evaluation Methods with SAS and R by : Ariel Alonso

Download or read book Applied Surrogate Endpoint Evaluation Methods with SAS and R written by Ariel Alonso. This book was released on 2016-11-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Surrogate Endpoint Evaluation Methods with SAS and R

2018 Clinical trials
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Release : 2018
Genre : Clinical trials
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Applied Surrogate Endpoint Evaluation Methods with SAS and R by :

Download or read book Applied Surrogate Endpoint Evaluation Methods with SAS and R written by . This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt:

The Evaluation of Surrogate Endpoints

2005-11-24 Medical
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Release : 2005-11-24
Genre : Medical
Kind : eBook
Book Rating : 809/5 ( reviews)

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Book Synopsis The Evaluation of Surrogate Endpoints by : Tomasz Burzykowski

Download or read book The Evaluation of Surrogate Endpoints written by Tomasz Burzykowski. This book was released on 2005-11-24. Available in PDF, EPUB and Kindle. Book excerpt: Covers the latest research on a sensitive and controversial topic in a professional and well researched manner. Provides practical outlook as well as model guidelines and software tools that should be of interest to people who use the software tools described and those who do not. Related title by Co-author Geert Molenbergh has sold more than 3500 copies world wide. Provides dual viewpoints: from scientists in the industry as well as regulatory authorities.

Clinical Trial Data Analysis Using R and SAS

2017-06-01 Mathematics
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Release : 2017-06-01
Genre : Mathematics
Kind : eBook
Book Rating : 530/5 ( reviews)

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Book Synopsis Clinical Trial Data Analysis Using R and SAS by : Ding-Geng (Din) Chen

Download or read book Clinical Trial Data Analysis Using R and SAS written by Ding-Geng (Din) Chen. This book was released on 2017-06-01. Available in PDF, EPUB and Kindle. Book excerpt: Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."—Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. What’s New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.

Clinical Trial Optimization Using R

2017-08-10 Mathematics
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Release : 2017-08-10
Genre : Mathematics
Kind : eBook
Book Rating : 088/5 ( reviews)

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Book Synopsis Clinical Trial Optimization Using R by : Alex Dmitrienko

Download or read book Clinical Trial Optimization Using R written by Alex Dmitrienko. This book was released on 2017-08-10. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or associated analytics and decision making. This book presents in depth the Clinical Scenario Evaluation (CSE) framework, and discusses optimization strategies, including the quantitative assessment of tradeoffs. A variety of common development challenges are evaluated as case studies, and used to show how this framework both simplifies and optimizes strategy selection. Specific settings include optimizing adaptive designs, multiplicity and subgroup analysis strategies, and overall development decision-making criteria around Go/No-Go. After this book, the reader will be equipped to extend the CSE framework to their particular development challenges as well.

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