A Handbook of Statistical Analyses Using Stata

A Handbook of Statistical Analyses Using Stata

by Brian S. Everitt, Sophia Rabe-Hesketh
     
 

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

Overview

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.

  • Editorial Reviews

    Booknews
    Explains the use of Stata 6, a general purpose statistical software package. Although brief accounts of the statistical background of techniques applied are included the primary focus is on the use of the program and interpreting results. Data sets examined include group comparison and correlations, the multiple regression model, analysis of variance model, logistic regression model, generalized linear models, analysis of longitudinal data, epidemiology, principal component analysis, Cox's regression model, and finite mixture distributions. Annotation c. Book News, Inc., Portland, OR (booknews.com)

    Product Details

    ISBN-13:
    9781584882015
    Publisher:
    Taylor & Francis
    Publication date:
    05/17/2000
    Edition description:
    Older Edition
    Pages:
    224
    Product dimensions:
    6.06(w) x 9.05(h) x 0.51(d)

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