A Handbook of Statistical Analyses Using Stata, 4/e (Paperback)

Brian S. Everitt



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.


每次 Stata 推出新版本時,都需要一個全面的資源來突顯改進之處,並討論軟體的基本原理。為了滿足這一需求,《使用 Stata 進行統計分析手冊》第四版已經完全更新,以介紹 Stata 9 版本。本版涵蓋了許多 Stata 的新功能,包括用於混合模型的新指令和新的矩陣語言。

每一章節描述了特定應用所適用的分析方法,重點放在醫學、社會和行為領域。作者在每一章節開始時描述了數據和要使用的統計技術。所涵蓋的方法包括描述統計、單變量檢驗、方差分析、多元線性回歸、邏輯回歸、廣義線性模型、生存分析、隨機效應模型和聚類分析。本書的核心是如何使用 Stata 進行分析以及如何解釋結果。每一章節結束時都有幾個基於不同學科的數據集的練習題。

《使用 Stata 進行統計分析手冊》第四版是對最新版本 Stata 的簡明指南,展示了使用 Stata 進行各種統計分析的好處,適用於數據分析課程和自學。