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Data Analysis Using Stata

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ISBN-10: 1597181102

ISBN-13: 9781597181105

Edition: 3rd 2012 (Revised)

Authors: Ulrich Kohler, Frauke Kreuter

List price: $85.95
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Description:

Data Analysis Using Stata, Third Editionis a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data…    
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Book details

List price: $85.95
Edition: 3rd
Copyright year: 2012
Publisher: StataCorp LLC
Publication date: 8/20/2012
Binding: Paperback
Pages: 497
Size: 7.25" wide x 9.25" long x 1.25" tall
Weight: 2.552
Language: English

The First Time
Starting Stata
Setting up your screen
Your first analysis
Do-files
Exiting Stata
Working with Do-Files
From interactive work to working with a do-file
Designing do-files
Organizing your work
The Grammar of Stata
The elements of Stata commands
Repeating similar commands
Weights
General Comments on the Statistical Commands
Regular statistical commands
Estimation commands
Creating and Changing Variables
The commands generate and replace
Specialized recoding commands
Recoding string variables
Recoding date and time
Setting missing values
Labels
Storage types, or the ghost in the machine
Creating and Changing Graphs
A primer on graph syntax
Graph types
Graph elements
Multiple graphs
Saving and printing graphs
Describing and Comparing Distributions
Categories: Few or many?
Variables with few categories
Variables with many categories
Statistical Inference
Random samples and sampling distributions
Descriptive inference
Causal inference
Introduction to Linear Regression
Simple linear regression
Multiple regression
Regression diagnostics
Model extensions
Reporting regression results
Advanced techniques
Regression Models for Categorical Dependent Variables
The linear probability model
Basic concepts
Logistic regression with Stata
Logistic regression diagnostics
Likelihood-ratio test
Refined models
Advanced techniques
Reading and Writing Data
The goal: The data matrix
Importing machine-readable data
Inputting data
Combining data
Saving and exporting data
Handling big datasets
Do-Files for Advanced Users and User-Written Programs
Two examples of usage
Four programming tools
User-written Stata commands
Around Stata
Resources and information
Taking care of Stata
Additional procedures
References
Author Index
Subject Index
Exercises appear at the end of each chapter