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Multiple Testing Problems in Pharmaceutical Statistics
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- Compralo SubitoMultiple Testing Problems in Pharmaceutical Statistics
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Numero oggetto eBay:396854303912
Specifiche dell'oggetto
- Condizione
- subject_code
- MBNS
- target_audience
- Professional and scholarly
- is_adult_product
- false
- edition_number
- 1
- binding
- paperback
- edition
- 1
- MPN
- N/A
- batteries_required
- false
- manufacturer
- CRC Press
- Brand
- N/A
- series_title
- Chapman & Hall/CRC Biostatistics Series
- number_of_items
- 1
- pages
- 322
- genre
- Biology, life sciences
- publication_date
- 2023-01-21T00:00:01Z
- unspsc_code
- 55101500
- ISBN
- 9781032477701
Informazioni su questo prodotto
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1032477709
ISBN-13
9781032477701
eBay Product ID (ePID)
5058377791
Product Key Features
Number of Pages
322 Pages
Language
English
Publication Name
Multiple Testing Problems in Pharmaceutical Statistics
Publication Year
2023
Subject
Biostatistics, Probability & Statistics / General, Pharmacology
Type
Textbook
Subject Area
Mathematics, Medical
Series
Chapman and Hall/Crc Biostatistics Ser.
Format
Trade Paperback
Dimensions
Item Weight
16.3 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
615.1901
Table Of Content
Multiplicity Problems in Clinical Trials: A Regulatory Perspective. Multiple Testing Methodology. Multiple Testing in Dose Response Problems. Analysis of Multiple Endpoints in Clinical Trials. Gatekeeping Procedures in Clinical Trials. Adaptive Designs and Confirmatory Hypothesis Testing. Design and Analysis of Microarray Experiments for Pharmacogenomics. Bibliography.
Synopsis
Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, this volume explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. It describes important multiplicity problems encountered in pre-clinical and clinic, Useful Statistical Approaches for Addressing Multiplicity Issues Includes practical examples from recent trials 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.
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