| 000 | 03362cam a2200421 a 4500 | ||
|---|---|---|---|
| 001 | 4801 | ||
| 003 | BD-DhEWU | ||
| 005 | 20181120143337.0 | ||
| 008 | 160616s2007 flua g b 001 0 eng d | ||
| 010 | _a 2007000593 | ||
| 020 | _a9781584886198 (acidfree paper) | ||
| 020 | _a1584886196 | ||
| 020 | _a1584886196 (acidfree paper) | ||
| 035 | _a(OCoLC)77012955 | ||
| 040 |
_aDLC _cDLC _dDLC _dBD-DhEWU _beng |
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| 041 | _aeng | ||
| 050 | 0 | 0 |
_aRA652.2.M3 _bS53 2007 |
| 082 | 0 | 0 |
_a614.4 _222 _bSHA 2007 |
| 100 | 1 |
_aShoukri, M. M. _q(Mohamed M.) _920296 |
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| 245 | 1 | 0 |
_aAnalysis of correlated data with SAS and R / _cMohamed M. Shoukri , Mohammad A. Chaudhary. |
| 250 | _a3rd ed. | ||
| 260 |
_aBoca Raton : _bChapman & Hall/CRC, _cc2007. |
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| 300 |
_a295 p. : _bill. ; _c25 cm. + |
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| 500 | _aOriginally published: Statistical methods for health sciences. 2nd ed. Boca Raton, Fla. : CRC Press, c1999. | ||
| 504 | _aIncludes bibliographical references (p. 283-289) and index. | ||
| 505 |
_tTOC _a PREFACE TO THE FIRST EDITION PREFACE TO THE SECOND EDITION PREFACE TO THE THIRD EDITION ANALYZING CLUSTERED DATA Regression Analysis for Clustered Data Generalized Linear Models Fitting Alternative Models for Clustered Data ANALYSIS OF CROSS-CLASSIFIED DATA Measures of Association in 2 x 2 Tables Analysis of Several 2 x 2 Contingency Tables Analysis of 1:1 Matched Pairs Statistical Analysis of Clustered Binary Data Sample Size Requirements for Clustered Binary Data Discussion MODELING BINARY OUTCOME DATA The Logistic Regression Model Modeling Correlated Binary Outcome Data Logistic Regression for Case-Control Studies Sample-Size Calculations for Logistic Regression ANALYSIS OF CLUSTERED COUNT DATA Poisson Regression Model Inference and Goodness of Fit Over-Dispersion in Count Data Count Data Random Effects Models Other Models ANALYSIS OF TIME SERIES Simple Descriptive Methods Fundamental Concepts in the Analysis of Time Series Models for Stationary Time Series ARIMA Models Forecasting Modeling Seasonality with ARIMA: The Condemnation Rates Series Revisited REPEATED MEASURES AND LONGITUDINAL DATA ANALYSIS Methods for the Analysis of Repeated Measures Data Mixed Linear Regression Models Examples Using the SAS Mixed and GLIMMIX Procedures SURVIVAL DATA ANALYSIS Examples Estimating the Survival Probabilities Modeling Correlated Survival Data Sample Size Requirements for Survival Data REFERENCES INDEX Introductions appear at the beginning of each chapter. |
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| 520 | _aDiscusses the methodologies used for the analysis of clustered and correlated data. This work includes a chapter devoted to the modeling and analyzing of normally distributed variables under clustered sampling designs. It offers an analysis of correlated count data that focuses on over-dispersion | ||
| 526 | _aAS | ||
| 590 | _aSagar Shahanawaz | ||
| 650 | 0 |
_aEpidemiology _xStatistical methods. _920297 |
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| 700 | 1 |
_aChaudhary, Mohammad A. _920298 |
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| 700 | 1 |
_aShoukri, M. M. _q(Mohamed M.). _tStatistical methods for health sciences. _920299 |
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| 856 | 4 | 2 |
_3WorldCat details _uhttp://www.worldcat.org/title/statistical-methods-for-correlated-data-with-applications-to-the-health-sciences/oclc/77012955&referer=brief_results |
| 856 | 4 | 0 |
_3E-book Fulltext _uhttp://lib.ewubd.edu/ebook/4801 |
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