Handbook of Statistical Analyses Using Stata

Rabe-Hesketh, Sophia und Brian Everitt:

ISBN 10: 1584884045 / ISBN 13: 9781584884040

Editore: Chapman & Hall/CRC, 2003

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320 Seiten Alle Bücher & Medienartikel von Book Broker sind stets in gutem & sehr gutem gebrauchsfähigen Zustand. Dieser Artikel weist folgende Merkmale auf: Helle/saubere Seiten in fester Bindung. Leichte Gebrauchsspuren. Sprache: Deutsch Gewicht in Gramm: 440 Taschenbuch, Größe: 1.9 x 14.6 x 22.9 cm.

Codice articolo 660962651

Dati bibliografici

• Titolo: Handbook of Statistical Analyses Using Stata
• Editore: Chapman & Hall/CRC
• Data di pubblicazione: 2003
• Lingua: Tedesco
• ISBN 10: 1584884045
• ISBN 13: 9781584884040
• Rilegatura: Brossura
• Edizione: 3.
• Condizione: Sehr gut
• Peso: 440 grammi
• Cataloghi dei venditori:
  • Statistik

Descrizione articolo

Riassunto

The powerful statistical software Stata has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. But because of its power and plethora of features, particularly in version 8, Stata manuals are usually quite extensive and detailed. The third edition of the Handbook of Statistical Analyses Using Stata describes the features of Stata version 8 in the same concise, convenient format that made the previous editions so popular. But the revisions updating the handbook to version 8 are not all this edition has to offer: the authors also added important material in three all-new chapters and focused more attention on Stata's improved graphical features. More Highlights of the Third Edition Ö Updates in all chapters that reflect the features of Stata 8 Ö A new chapter on random effects models Ö A new chapter on generalized estimating equations Ö A new chapter on cluster analysis Ö Increased emphasis on diagnostics Each chapter deals with a particular data set, identifies the appropriate analysis for it, and while it includes a brief account of the statistical background of the technique applied, the primary focus remains firmly on using Stata 8 and interpreting its results. Ideal for researchers, statisticians, and students alike, this handbook forms a perfect complement to the Stata manuals, by giving new users a head start on using the program and providing experienced users with a handy quick reference.

Contenuti

A BRIEF INTRODUCTION TO STATA
Getting Help and Information
Running Stata
Conventions Used in this Book
Datasets in Stata
Stata Commands
Data Management
Estimation
Graphics
Stata as a Calculator
Brief Introduction to Programming
Keeping Stata Up to Date
Exercises
DATA DESCRIPTION AND SIMPLE INFERENCE: Female Psychiatric Patients
Description of Data
Group Comparison and Correlations
Analysis Using Stata
Exercises
MULTIPLE REGRESSION: Determinants of Pollution in U.S Cities
Description of Data
The Multiple Regression Model
Analysis Using Stata
Exercises
ANALYSIS OF VARIANCE I: Treating Hypertension
Description of Data
Analysis of Vaiance Model
Analysis Using Stata
Exercises
ANALYSIS OF VARIANCE II: Effectiveness of Slimming Clinics
Description of Data
Analysis of Variance Model
Analysis Using Stata
Exercises
LOGISTIC REGRESSION: Treatment of Lung Cancer and Diagnosis of Heart Attacks
Description of Data
The Logistic Regression Model
Analysis Using Stata
Exercises
GENERALIZED LINEAR MODELS: Australian School Children
Description of Data
Generalized Linear Models
Analysis Using Stata
Exercises
SUMMARY MEASURE ANALYSIS OF LONGITUDINAL DATA: The Treatment of Postnatal Depression
Description of Data
The Analysis of Longitudinal Data
Analysis Using Stata
Exercises
RANDOM EFFECTS MODELS: Thought Disorder and Schizophrenia
Description of Data
Random Effects Models
Analysis Using Stata
Thought Disorder Data
Exercises
GENERALIZED ESTIMATING EQUATIONS: Epileptic Seizures and Chemotherapy
Description of Data
Generalized Estimating Equations
Analysis Using Stata
Exercises
SOME EPIDEMIOLOGY
Description of Data
Introduction to Epidemiology
Analysis Using Stata
Exercises
SURVIVAL ANALYSIS: Retention of Heroin Addicts in Methadone Maintenance Treatment
Description of Data
Survival Analysis