* Statistics with Stata: Version 12* is the edition in Professor Lawrence C. Hamilton’s popular Statistics with Stata series. Intended to bridge the gap between statistical texts and Stata’s own documentation, Statistics with Stata demonstrates how to use Stata to perform a variety of tasks.

The first three chapters cover getting started in Stata, data manipulation, and graphics. Hamilton then introduces many statistical procedures available within Stata. These include summary statistics and tables, ANOVA, linear regression (and diagnostics), robust methods, nonlinear regression, regression models for limited dependent variables, complex survey data, survival analysis, factor analysis, cluster analysis, structural equation modeling, multiple imputation, time series, and multilevel mixed-effects models. The final chapter provides an introduction to programming.

The organization of this book makes it ideal for those who are new to statistics, experienced statisticians who are new to Stata, and Stata users wishing to explore Stata’s capabilities in a new field. A series of example commands with brief descriptions at the beginning of each chapter demonstrates the Stata syntax for topics discussed in the chapter. For those already familiar with the statistical technique but not with the corresponding Stata commands, this example section may be all that is needed to begin an analysis using Stata. Following the example sections, Hamilton addresses each topic in more detail with descriptions of statistical procedures, examples using real data, and interpretation of the Stata output.

Provided here are the datasets and other supplemental materials that were used to produce the output in the book *Statistics with Stata: Version 12*. There are 48 **.dta** files. You may download them in either of two formats: sws12.zip & sws12.tar.Z.

Click here to see full contents.

### Table of contents

Preface

Notes on the Eighth Edition

Acknowledgments

**1 Stata and Stata Resources**

A Typographical Note

An Example Stata Session

Stata’s Documentation and Help Files

Searching for Information

StataCorp

The Stata Journal

Books Using Stata

**2 Data Management**

Example Commands

Creating a New Dataset by Typing in Data

Creating a New Dataset by Copy and Paste

Specifying Subsets of the Data: in and if Qualifiers

Generating and Replacing Variables

Missing Value Codes

Using Functions

Converting Between Numeric and String Formats

Creating New Categorical and Ordinal Variables

Using Explicit Subscripts with Variables

Importing Data from Other Programs

Combining Two or More Stata Files

Collapsing Data

Reshaping Data

Using Weights

Creating Random Data and Random Samples

Writing Programs for Data Management

**3 Graphs**

Example Commands

Histograms

Box Plots

Scatterplots and Overlays

Line Plots and Connected-Line Plots

Other Twoway Plot Types

Bar Charts and Pie Charts

Symmetry and Quantile Plots

Adding Text to Graphs

Graphing with Do-Files

Retrieving and Combining Graphs

Graph Editor

Creative Graphing

**4 Survey Data**

Example Commands

Declare Survey Data

Design Weights

Poststratification Weights

Survey-Weighted Tables and Graphs

Bar Charts for Multiple Comparisons

**5 Summary Statistics and Tables**

Example Commands

Summary Statistics for Measurement Variables

Exploratory Data Analysis

Normality Tests and Transformations

Frequency Tables and Two-Way Cross-Tabulations

Multiple Tables and Multi-Way Cross-Tabulations

Tables of Means, Medians and Other Summary Statistics

Using Frequency Weights

**6 ANOVA and Other Comparison Methods**

Example Commands

One-Sample Tests

Two-Sample Tests

One-Way Analysis of Variance (ANOVA)

Two- and N-Way Analysis of Variance

Factor Variables and Analysis of Covariance (ANCOVA)

Predicted Values and Error-Bar Charts

**7 Linear Regression Analysis**

Example Commands

Simple Regression

Correlation

Multiple Regression

Hypothesis Tests

Dummy Variables

Interaction Effects

Robust Estimates of Variance

Predicted Values and Residuals

Other Case Statistics

Diagnosing Multicollinearity and Heteroskedasticity

Confidence Bands in Simple Regression

Diagnostic Graphs

**8 Advanced Regression Methods**

Example Commands

Lowess Smoothing

Robust Regression

Further rreg and qreg Applications

Nonlinear Regression — 1

Nonlinear Regression — 2

Box–Cox Regression

Multiple Imputation of Missing Values

Structural Equation Modeling

**9 Logistic Regression**

Example Commands

Space Shuttle Data

Using Logistic Regression

Marginal or Conditional Effects Plots

Diagnostic Statistics and Plots

Logistic Regression with Ordered-Category y

Multinomial Logistic Regression

Multiple Imputation of Missing Values — Logit Regression Example

**10 Survival and Event-Count Models**

Example Commands

Survival-Time Data

Count-Time Data

Kaplan–Meier Survivor Functions

Cox Proportional Hazard Models

Exponential and Weibull Regression

Poisson Regression

Generalized Linear Models

**11 Principal Component, Factor and Cluster Analysis**

Example Commands

Principal Component Analysis and Principal Component Factoring

Rotation

Factor Scores

Principal Factoring

Maximum-Likelihood Factoring

Cluster Analysis — 1

Cluster Analysis — 2

Using Factor Scores in Regression

Measurement and Structural Equation Models

**12 Time Series Analysis**

Example Commands

Smoothing

Further Time Plot Examples

Recent Climate Change

Leads, Lags and Differences

Correlograms

ARIMA Models

ARMAX Models

**13 Multilevel and Mixed-Effects Modeling**

Example Commands

Regression with Random Intercepts

Random Intercepts and Slopes

Multiple Random Slopes

Nested Levels

Repeated Measurements

Cross-Sectional Time Series

Mixed-Effects Logit Regression

**14 Introduction to Programming**

Basic Concepts and Tools

Example Program: multicat (Plot Many Categorical Variables)

Using multicat

Help File

Monte Carlo Simulation

Matrix Programming with Mata

**Dataset Sources**

**References**

**Index**

## Product details

- Publisher : Cengage Learning; 8th edition (April 15, 2012)
- Language : English
- Paperback : 496 pages
- ISBN-10 : 0840064632
- ISBN-13 : 978-0840064639
- Item Weight : 1.55 pounds
- Dimensions : 8 x 0.9 x 9 inches

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