Everitt | Handbook of Statistical Analyses Using Stata | Buch | 978-1-58488-756-0 | sack.de

Buch, Englisch, 354 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 516 g

Everitt

Handbook of Statistical Analyses Using Stata


4. Auflage 2006
ISBN: 978-1-58488-756-0
Verlag: Chapman and Hall/CRC

Buch, Englisch, 354 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 516 g

ISBN: 978-1-58488-756-0
Verlag: Chapman and Hall/CRC


With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language.
Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines.
A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.

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Zielgruppe


Undergraduate


Autoren/Hrsg.


Weitere Infos & Material


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. Appendix. References. Index.


Brian S. Everitt



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