Signal detection for medical scientists likelihood ratio test-based methodology / Ram Tiwari, Jyoti Zalkikar, Lan Huang.

Author/creator Tiwari, Ram
Other author Zalkikar, Jyoti.
Other author Huang, Lan (Statistician)
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, 2021.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

SeriesBiostatistics series
Contents Data mining methods for signal detection -- Basic LRT method -- LRT methods for drug classes -- ZIP-LRT method for modeling extra-zeros -- LRT method for active safety surveillance with exposure information -- LRT-based methodologies for analysis of multiple studies -- LRT methods in medical device safety evaluation -- LRT method for multiple-site device data with continuous outcomes -- Use of LRT in site selection.
Abstract "This book presents the data mining techniques with focus on likelihood ratio test (LRT) based methods for signal detection. It emphasizes computational aspect of LRT methodology and is pertinent for first-time researchers and graduate students venturing into this interesting field. The book is written as a reference book for professionals in pharmaceutical industry, manufactures of medical devices, and regulatory agencies. The book deals with the signal detection in drug/device evaluation, which is important in the post-market evaluation of medical products, and in the pre-market signal detection during clinical trials for monitoring procedures"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Tiwari, Ram (Ram C.). Signal detection for medical scientists First edition. Boca Raton : CRC Press, 2021. 9780367201432
Genre/formElectronic books.
LCCN 2020056853
ISBN9780429259753 (ebook)
ISBN9780429535390 (epub)
ISBN(hardback)
ISBN(paperback)