Preventing and Treating Missing Data in Longitudinal Clinical Trials

A Practical Guide

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics
Cover of the book Preventing and Treating Missing Data in Longitudinal Clinical Trials by Craig H. Mallinckrodt, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Craig H. Mallinckrodt ISBN: 9781107301832
Publisher: Cambridge University Press Publication: January 28, 2013
Imprint: Cambridge University Press Language: English
Author: Craig H. Mallinckrodt
ISBN: 9781107301832
Publisher: Cambridge University Press
Publication: January 28, 2013
Imprint: Cambridge University Press
Language: English

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.

More books from Cambridge University Press

Cover of the book Discourse and Knowledge by Craig H. Mallinckrodt
Cover of the book Choosing in Groups by Craig H. Mallinckrodt
Cover of the book Economy of Force by Craig H. Mallinckrodt
Cover of the book Unspoken Politics by Craig H. Mallinckrodt
Cover of the book Bubble and Foam Chemistry by Craig H. Mallinckrodt
Cover of the book What Ifs of Jewish History by Craig H. Mallinckrodt
Cover of the book Lectures on the Poisson Process by Craig H. Mallinckrodt
Cover of the book Atiyah's Accidents, Compensation and the Law by Craig H. Mallinckrodt
Cover of the book Leibniz on Causation and Agency by Craig H. Mallinckrodt
Cover of the book Groups St Andrews 2013 by Craig H. Mallinckrodt
Cover of the book Educational Leadership by Craig H. Mallinckrodt
Cover of the book Crafting Courts in New Democracies by Craig H. Mallinckrodt
Cover of the book American Fair Trade by Craig H. Mallinckrodt
Cover of the book Human Rights and the Ethics of Globalization by Craig H. Mallinckrodt
Cover of the book Pregnancy After Assisted Reproductive Technology by Craig H. Mallinckrodt
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy