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Statistical methods for rates and proportions.

Author: Joseph L Fleiss; Bruce Levin; Myunghee Cho Paik
Publisher: Hoboken, N.J. : J. Wiley, ©2003.
Series: Wiley series in probability and statistics.
Edition/Format:   Print book : Document   Computer File : English : 3rd ed.View all editions and formats
Summary:
* Includes a new chapter on logistic regression. * Discusses the design and analysis of random trials. * Explores the latest applications of sample size tables. * Contains a new section on binomial distribution.
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Material Type: Document, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: Joseph L Fleiss; Bruce Levin; Myunghee Cho Paik
ISBN: 0471526290 9780471526292
OCLC Number: 50898468
Description: xxvii, 760 pages : illustrations ; 25 cm.
Contents: An introduction to applied probability --
Statistical inference for a single proportion --
Assessing significance in a fourfold table --
Determining sample sizes needed to detect a difference between two proportions --
How to randomize --
Comparative studies : cross-sectional, naturalistic, or multinomial sampling --
Comparative studies : prospective and retrospective sampling --
Randomized controlled trials --
The comparison of proportions from several independent samples --
Combining evidence from fourfold tables --
Logistic regression --
Poisson regression --
The analysis of data from matched samples --
Regression models for matched samples --
Analysis of correlated binary data --
Missing data --
Misclassification : effects, control, and --
The measurement of interrater agreement --
The standardization of rates.
Series Title: Wiley series in probability and statistics.
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Abstract:

Completely updated and revised, this third edition presents methods for the design and analysis of surveys, studies, and experiments when the data is qualitative and categorical. The authors also  Read more...

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"A well written specialized book by Fleiss et al. illustrates in detail the definitions and importance of rates in health and other data analysis." (Journal of Statistical Computation and Simulation, Read more...

 
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