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Handbook of Statistical Analyses Using Stata

Brian S. Everitt | Sophia Rabe-Hesketh
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A01=Brian S. Everitt
A01=Sophia Rabe-Hesketh
advanced Stata statistical applications
Anova Command
ANOVA Model
Australian School Children
Author_Brian S. Everitt
Author_Sophia Rabe-Hesketh
behavioral data analysis
Case Control Set
Category=JMB
Category=PBT
chi2
cluster analysis methods
D1 Case
dummy
Dummy Variables
Empirical Bayes Predictions
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Frequency Row Percentage
Gee Population Average Model Number
Generalized Linear Models
GHQ Score
hypothesis
likelihood
log
Log Likelihood Contributions
longitudinal data study
LOWESS Curve
LR Chi2
Matched Case Control Study
matrix
medical statistics
Progressive Disease
Random Intercept
Random Intercept Model
Random Intercept Variance
regression techniques
Root MSE
scatterplot
Standardized Pearson Residuals
survival modeling
Ta Ge
variable
Vice Versa
Wald Chi2
Y1 Y2 Y3 Y4 Y5
y10

Product details

  • ISBN 9781138462489
  • Weight: 612g
  • Dimensions: 152 x 229mm
  • Publication Date: 09 Aug 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

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, AHandbook 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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