Description
Handbook of Statistical Analyses Using Stata (4th Ed.)
Authors: Everitt Brian S., Rabe-Hesketh Sophia
Language: EnglishSubjects for Handbook of Statistical Analyses Using Stata:
Keywords
LOWESS Curve; log; Progressive Disease; likelihood; Root MSE; dummy; D1 Case; variable; Y1 Y2 Y3 Y4 Y5; scatterplot; Empirical Bayes Predictions; matrix; Dummy Variables; chi2; LR Chi2; Vice Versa; hypothesis; ANOVA Model; y10; Random Intercept Model; Wald Chi2; Standardized Pearson Residuals; Frequency Row Percentage; Gee Population Average Model Number; Anova Command; Random Intercept; Matched Case Control Study; Log Likelihood Contributions; Australian School Children; Ta Ge; Random Intercept Variance; Generalized Linear Models; GHQ Score; Case Control Set
226.76 €
In Print (Delivery period: 14 days).
Add to cart the book of Everitt Brian S., Rabe-Hesketh SophiaPublication date: 08-2017
· 15.2x22.9 cm · Hardback
95.69 €
Subject to availability at the publisher.
Add to cart the book of Everitt Brian S., Rabe-Hesketh SophiaPublication date: 11-2006
352 p. · 15.2x22.9 cm · Hardback
Description
/li>Contents
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/li>Biography
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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, AHandbook 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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