Multiple testing problem in pharmaceutical statistics (Record no. 2592)

000 -LEADER
fixed length control field 00672nam a2200193Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190503111038.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180803s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1-58488-984-7
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 615.1401513
Item number DMI/TAM
Edition number DDC23
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dmitrienko, Alex
9 (RLIN) 3989
245 #0 - TITLE STATEMENT
Title Multiple testing problem in pharmaceutical statistics
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. NA
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2010
300 ## - PHYSICAL DESCRIPTION
Extent 304, 24*16.1 Pages
Other physical details | Binding - Paperback |
520 ## - SUMMARY, ETC.
Summary, etc. Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter, the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings.

The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials, before giving an overview of the concepts, principles, and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses, the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies, taking into account the numerous multiplicity issues that occur.

This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology, along with examples and software code to show how to use the methods in practice.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4639
Topical term or geographic name entry element PHARMACEUTICS
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tamhane, Ajit C.Bretz, Frank
9 (RLIN) 3990
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ndl.iitkgp.ac.in/result?q={%22t%22:%22search%22,%22k%22:%22pharmaceutics%22,%22s%22:[%22DDC=\%22600%3A%3ATechnology\%22%22],%22b%22:{%22filters%22:[]}}
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Text Books
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Koha item type
        Not For Loan Reference School of Pharmacy School of Pharmacy Reference Section 2010-05-05 Medico's Book Aid 3265.37 615.1401513 DMI/TAM B0817 2020-10-26 4186.38 Text Books
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