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Confidence intervals for proportions and related measures of effect size

Author: Robert G Newcombe
Publisher: Boca Raton : CRC Press, Taylor & Francis Group, ©2013.
Series: Chapman & Hall/CRC biostatistics series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why it is usually preferable to report the latter. Chapters begin with the simplest cases of a mean or a proportion based on  Read more...
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Genre/Form: Statistics
Document Type: Book
All Authors / Contributors: Robert G Newcombe
ISBN: 9781439812785 1439812780
OCLC Number: 663951833
Notes: "A Chapman & Hall book."
Description: xxvii, 442 pages : illustrations ; 24 cm.
Contents: 1. Hypothesis tests and confidence intervals --
2. Means and their differences --
3. Confidence intervals for a simple binomial proportion --
4. Criteria for optimality --
5. Evaluation of performance of confidence interval methods --
6. Intervals for the Poisson parameter and the substitution approach --
7. Difference between independent proportions and the square-and-add approach --
8. Difference between proportions based on individually paired data --
9. Methods for triads of proportions --
10. Relative risk and rate ratio --
11. The odds ratio and logistic regression --
12. Screening and diagnostic tests --
13. Widening the applicability of confidence interval methods : the propagating imprecision approach --
14. Several applications of the MOVER and PropImp approaches --
15. Generalised Mann-Whitney measure --
16. Generalised Wilcoxon measure.
Series Title: Chapman & Hall/CRC biostatistics series.
Responsibility: Robert G. Newcombe.

Abstract:

"Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why it is usually preferable to report the latter. Chapters begin with the simplest cases of a mean or a proportion based on a single sample and then move on to more complex applications. Although the books illustrative examples are mainly health-related, the methods described can also be applied to research in a wide range of disciplines"--

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"...this is a fantastic book, and I would recommend it highly, especially for medical researchers and statisticians in the medical field."-Vance W. Berger, Journal of Biopharmaceutical Statistics, Read more...

 
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