Confidence intervals in clinical research (Record no. 31063)

000 -LEADER
fixed length control field nam a22 7a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220511b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138048980
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.727
Item number PRA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pradhan, Vivek
245 ## - TITLE STATEMENT
Title Confidence intervals in clinical research
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Chapman & Hall/CRC,
Name of publisher, distributor, etc 2021
Date of publication, distribution, etc Boca Raton :
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 226 p.,
Other physical details ill.,
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 00
Price type code GRATIS
Unit of pricing 00
490 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC Biostatistics Series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysis of discrete data is one of the most used yet vexing areas in clinical research. The array of methodologies available in the literature to address the inferential questions for binomial and multinomial data can be a double-edged sword. On the one hand, these methods open a rich avenue of exploration of data; on the other, the wide-ranging and competing methodologies potentially lead to conflicting inferences, adding to researchers' confusion and frustration and also leading to reporting bias. This book addresses the problems that many practitioners experience in choosing and implementing fit for purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is an outgrowth of the authors' collective experience in biomedical research and provides an excellent overview of inferential questions of interest for binomial proportions and rates based on count data, and reviews various solutions to these problems available in the literature. Each chapter discusses the strengths and weaknesses of the methods and suggests practical recommendations. The book's primary focus is on applications in clinical research, and the goal is to provide direct benefit to the users involved in the biomedical field.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine
Topical term or geographic name as entry element Research
Topical term or geographic name as entry element Biology
Topical term or geographic name as entry element Agresti and Min interval
Topical term or geographic name as entry element MOVER intervals
Topical term or geographic name as entry element Bayesian
Topical term or geographic name as entry element Chan and Zhang's (CZ) interval
Topical term or geographic name as entry element Jeffreys intervals
Topical term or geographic name as entry element Katz interval
Topical term or geographic name as entry element Markov Chain Monte Carlo (MCMC) methods
Topical term or geographic name as entry element Score interval
Topical term or geographic name as entry element Confidence interval
Topical term or geographic name as entry element SAS/R code
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Menon, Sandeep M.
Personal name Gangopadhyay, Ashis
Personal name Basu, Cynthia
Personal name Banerjee, Tathagata
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-05-12 0.00 610.727 PRA 032972 2022-05-11 Books

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