Handbook of Statistical Analyses Using Stata, Second Edition

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ISBN 9781584882015
Cat# C2018
 

Features

  • Describes the most recent version of Stata - Version 6 -and a variety of statistical techniques
  • Offers a quick start - thorough, how-to instructions for Stata in a convenient, easy-to-read format
  • Makes all datasets used in the book available on the Internet at http://www.iop.kcl.ac.uk/IoP/Departments/BioComp/StataBook.stm
  • Summary

    Stata - the powerful statistical software package - has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. Because of its power and extensive features, however, the Stata manuals are quite detailed and extensive.

    The Second Edition of A Handbook of Statistical Analyses using Stata describes the features of the latest version of Stata - Version 6 - in a concise, convenient format. It gives new users a head start on using the program and offers experienced users a quick reference. The authors illustrate how Stata can be used to apply a variety of statistical techniques, including regression, survival analysis, and principal components. They outline Stata's value in:

  • modeling complex data from longitudinal studies or surveys
  • analyzing results from clinical trials or epidemiological studies
  • using its powerful programming language to apply tailor-made analyses relatively simply

    Each chapter deals with a particular data set, identifies the appropriate analysis for it, and includes a brief account of the statistical background of the technique applied. However, the primary focus is on using Stata 6 and interpreting results. As such, this text complements the Stata manuals, offering both an ideal introduction to the program and a handy reference - perfect as a supplementary text for a second course in statistics.
  • Table of Contents

    A Brief Introduction to Stata
    Data Description and Simple Inference
    Multiple Regression
    Analysis of Variance I
    Analysis of Variance II
    Logistic Regression
    Generalized Linear Models
    Analysis of Longitudinal Data I
    Analysis of Longitudinal Data II
    Some Epidemiology
    Survival Analysis
    Principal Components Analysis
    Maximum Likelihood Estimation

    Editorial Reviews

    "The book is nicely structured…gives a clear and complete explanation of the way statistical methods can help one gain a better understanding of collected data. The handbook is unlike other statistical texts that usually deal with either theory or applications. It integrates the two elements into a single presentation of theoretical background, data, interpretation, graphics, and implementation. This all-around approach will be particularly helpful to students in various medical statistics and epidemiology courses, and will interest all statisticians, epidemiologists and researchers who intend to analyse data with Stata."
    --Duolao Wang, Statistical Methods in Medical Research, Vol. 9, No. 5

    "In its second edition, A Handbook of Statistical Analyses Using Stata is well written and nicely organized. It is designed for readers either already familiar with the statistical techniques it presents or for those sufficiently sophisticated to be able to learn the requisite statistical details from other sources. Readers with solid statistical training but unfamiliar with Stata will find this book to be a succinct and pleasant introduction to the software... this book provides an excellent, interesting, and efficient introduction to Stata that I can easily recommend."
    -Technometrics, Vol. 43, No. 4, November 2001

    "The format of each of the chapters is well laid out… As a relative novice to Stata I found the book to be a very useful introduction to the package. Experienced Stata users may also find it a helpful reference book… This excellently presented book achieves its aim of being an introduction to Stata and a handy work of reference."
    The Statistician, Vol. 50, Part 2, 2001


    About the First Edition:
    Rabe-Hesketh and Everitt offer an interesting and useful book using standard and nonstandard techniques…students and researchers alike engaged in data analysis will find this a well-written, well-illustrated, valuable book. Highly recomm

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