A handbook of statistical analyses using Stata / Sophia Rabe-Hesketh, Brian S. Everitt.

By: Rabe-Hesketh, S Contributor(s): Everitt, Brian Material type: Text

TextLanguage: English Publication details: Boca Raton : Chapman & Hall/CRC, c2007. Edition: 4th edDescription: ix, 342 p. : ill. ; 24 cmISBN: 1584887567 (acidfree paper); 9781584887560 (acidfree paper)Subject(s): Mathematical statistics -- Data processingDDC classification: 519.50285536 LOC classification: QA276.4 | .R33 2007Online resources: Publisher description | WorldCat Details | E-book Fulltext

Contents:

TOC A brief introduction to Stata -- Data description and simple inference : female psychiatric patients -- Multiple regression : determinants of pollution in U.S. cities -- Analysis of Variance I : treating hypertension -- Analysis of Variance II : effectiveness of slimming clinics -- Logistic regression : treatment of lung cancer and diagnosis of heart attacks -- Generalized linear models : Australian school children -- Summary measure analysis of longitudinal data : treatment of post-natal depression -- Random effects models : thought disorder and schizophrenia -- Generalized estimating equations : epileptic seizures and chemotherapy -- Some epidemiology -- Survival analysis : retention of heroin addicts in methadone maintenance treatment -- Maximum likelihood estimation : age of onset of schizophrenia -- Principal components analysis : hearing measurement using an audiometer -- Cluster analysis : Tibetan skulls and determinants of pollution in U.S. cities.

Summary: Summary: Demonstrates how a wide variety of statistical analyses, including descriptive statistics, graphics, and model estimation and diagnostics, can be performed using Stata version 9. This book presents many of Stata's features, including a mixed-models estimation command and a matrix language.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.50285536 HEH 2007 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.50285536 HEH 2007 (Browse shelf(Opens below))	C-1	Not For Loan	25852
Text	Dr. S. R. Lasker Library, EWU Reserve Section		519.50285536 HEH 2007 (Browse shelf(Opens below))	C-2	Not For Loan	26519

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Previous	519.5028553 ONE 2014 One hundred nineteen stata tips /	519.50285536 BEI 2013 Introduction to time series using Stata /	519.50285536 HEH 2007 A handbook of statistical analyses using Stata /	519.50285536 HEH 2007 A handbook of statistical analyses using Stata /	519.502855369 SIP Practical business statistics with STATPAD /	519.5028555 FID 2005 Discovering statistics using SPSS :	519.5076 WES Student handbook for Wittte s statistics	Next

"Updated for version 9"--Cover.

Includes bibliographical references (p. 327-334) and index.

TOC A brief introduction to Stata --
Data description and simple inference : female psychiatric patients --
Multiple regression : determinants of pollution in U.S. cities --
Analysis of Variance I : treating hypertension --
Analysis of Variance II : effectiveness of slimming clinics --
Logistic regression : treatment of lung cancer and diagnosis of heart attacks --
Generalized linear models : Australian school children --
Summary measure analysis of longitudinal data : treatment of post-natal depression --
Random effects models : thought disorder and schizophrenia --
Generalized estimating equations : epileptic seizures and chemotherapy --
Some epidemiology --
Survival analysis : retention of heroin addicts in methadone maintenance treatment --
Maximum likelihood estimation : age of onset of schizophrenia --
Principal components analysis : hearing measurement using an audiometer --
Cluster analysis : Tibetan skulls and determinants of pollution in U.S. cities.

Summary:

Demonstrates how a wide variety of statistical analyses, including descriptive statistics, graphics, and model estimation and diagnostics, can be performed using Stata version 9. This book presents many of Stata's features, including a mixed-models estimation command and a matrix language.

Tahur Ahmed

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