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 |