## User’s GuideCopyright 2013ISBN-13: 978-1-59718-115-0 Pages: 409 | |

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Table of contents | |

Supplemental materials
Data Analysis Using Stata, Third Edition
The Workflow of Data Analysis Using Stata |

Stata basics

1.1 Getting Started with Stata

1.2 The User’s Guide and the Reference manuals

1.2 The User’s Guide and the Reference manuals

1.2.1 PDF manuals

1.2.4 The index

1.2.5 The subject table of contents

1.2.6 Typography

1.2.7 Vignette

1.3 What’s new
1.2.1.1 Video examples

1.2.2 Example datasets
1.2.2.1 Video example

1.2.3 Cross-referencing1.2.4 The index

1.2.5 The subject table of contents

1.2.6 Typography

1.2.7 Vignette

1.3.1 What’s new (highlights)

1.3.2 What’s new in the GUI and command interface

1.3.3 What’s new in statistics (general)

1.3.4 What’s new in statistics (longitudinal/panel data)

1.3.5 What’s new in statistics (time series)

1.3.6 What’s new in statistics (survey)

1.3.7 What’s new in statistics (survival analysis)

1.3.8 What’s new in statistics (multivariate)

1.3.9 What’s new in statistics (multiple imputation)

1.3.10 What’s new in graphics

1.3.11 What’s new in programming

1.3.12 What’s new in Mata

1.3.13 What’s more

1.4 References1.3.2 What’s new in the GUI and command interface

1.3.3 What’s new in statistics (general)

1.3.4 What’s new in statistics (longitudinal/panel data)

1.3.5 What’s new in statistics (time series)

1.3.6 What’s new in statistics (survey)

1.3.7 What’s new in statistics (survival analysis)

1.3.8 What’s new in statistics (multivariate)

1.3.9 What’s new in statistics (multiple imputation)

1.3.10 What’s new in graphics

1.3.11 What’s new in programming

1.3.12 What’s new in Mata

1.3.13 What’s more

2.1 Video example

3.1 Overview

3.2 Stata on the Internet (www.stata.com and other resources)

3.4 The Stata listserver

3.5 The Stata Journal

3.6 Updating and adding features from the web

3.2 Stata on the Internet (www.stata.com and other resources)

3.2.1 The Stata website (www.stata.com)

3.2.2 The Stata YouTube Channel

3.2.3 The Stata Blog—Not Elsewhere Classified

3.2.4 Stata on Twitter and Facebook

3.2.5 Other Internet resources on Stata

3.3 Stata Press3.2.2 The Stata YouTube Channel

3.2.3 The Stata Blog—Not Elsewhere Classified

3.2.4 Stata on Twitter and Facebook

3.2.5 Other Internet resources on Stata

3.4 The Stata listserver

3.5 The Stata Journal

3.6 Updating and adding features from the web

3.6.1 Official updates

3.6.2 Unofficial updates

3.7 Conferences and training3.6.2 Unofficial updates

3.7.1 Conferences and users group meetings

3.7.2 NetCourses

3.7.3 Public training courses

3.7.4 On-site training courses

3.8 Books and other support materials3.7.2 NetCourses

3.7.3 Public training courses

3.7.4 On-site training courses

3.8.1 For readers

3.8.2 For authors

3.9 Technical support3.8.2 For authors

3.9.1 Register your software

3.9.2 Before contacting technical support

3.9.3 Technical support by email

3.9.4 Technical support by phone or fax

3.9.5 Comments and suggestions for our technical staff

3.9.2 Before contacting technical support

3.9.3 Technical support by email

3.9.4 Technical support by phone or fax

3.9.5 Comments and suggestions for our technical staff

4.1 Introduction

4.2 Getting started

4.3 help: Stata’s help system

4.4 Accessing PDF manuals from help entries

4.5 Searching

4.6 More on search

4.7 More on help

4.8 search: All the details

4.2 Getting started

4.3 help: Stata’s help system

4.4 Accessing PDF manuals from help entries

4.5 Searching

4.6 More on search

4.7 More on help

4.8 search: All the details

4.8.1 How search works

4.8.2 Author searches

4.8.3 Entry ID searches

4.8.4 FAQ searches

4.8.5 Return codes

4.9 net search: Searching net resources4.8.2 Author searches

4.8.3 Entry ID searches

4.8.4 FAQ searches

4.8.5 Return codes

5.1 Platforms

5.2 Stata/MP, Stata/SE, Stata/IC, and Small Stata

5.4 Speed comparison of Stata/MP, SE, IC, and Small Stata

5.5 Feature comparison of Stata/MP, SE, and IC

5.2 Stata/MP, Stata/SE, Stata/IC, and Small Stata

5.2.1 Determining which version you own

5.2.2 Determining which version is installed

5.3 Size limits of Stata/MP, SE, IC, and Small Stata 5.2.2 Determining which version is installed

5.4 Speed comparison of Stata/MP, SE, IC, and Small Stata

5.5 Feature comparison of Stata/MP, SE, and IC

6.1 Memory-size considerations

6.2 Compressing data

6.3 Setting maxvar

6.4 Setting matsize

6.5 The memory command

6.2 Compressing data

6.3 Setting maxvar

6.4 Setting matsize

6.5 The memory command

7.1 Description

7.2 set more off

7.3 The more programming command

7.2 set more off

7.3 The more programming command

8.1 Making mistakes

8.1.1 Mistakes are forgiven

8.1.2 Mistakes stop user-written programs and do-files

8.1.3 Advanced programming to tolerate errors

8.2 The return message for obtaining command timings8.1.2 Mistakes stop user-written programs and do-files

8.1.3 Advanced programming to tolerate errors

9.1 Making Stata stop what it is doing

9.2 Side effects of clicking on Break

9.3 Programming considerations

9.2 Side effects of clicking on Break

9.3 Programming considerations

10.1 Description

10.2 F-keys

10.3 Editing keys in Stata

10.4 Editing keys in Stata for Unix(console)

10.5 Editing previous lines in Stata

10.6 Tab expansion of variable names

10.2 F-keys

10.3 Editing keys in Stata

10.4 Editing keys in Stata for Unix(console)

10.5 Editing previous lines in Stata

10.6 Tab expansion of variable names

Elements of Stata

11.1 Overview

11.4 varlists

11.6 Filenaming conventions

11.1.1 varlist

11.1.2 by varlist:

11.1.3 if exp

11.1.4 in range

11.1.5 =exp

11.1.6 weight

11.1.7 options

11.1.8 numlist

11.1.9 datelist

11.1.10 Prefix commands

11.2 Abbreviation rules11.1.2 by varlist:

11.1.3 if exp

11.1.4 in range

11.1.5 =exp

11.1.6 weight

11.1.7 options

11.1.8 numlist

11.1.9 datelist

11.1.10 Prefix commands

11.2.1 Command abbreviation

11.2.2 Option abbreviation

11.2.3 Variable-name abbreviation

11.2.4 Abbreviations for programmers

11.3 Naming conventions11.2.2 Option abbreviation

11.2.3 Variable-name abbreviation

11.2.4 Abbreviations for programmers

11.4 varlists

11.4.1 Lists of existing variables

11.4.2 Lists of new variables

11.4.3 Factor variables

11.5 by varlist: construct11.4.2 Lists of new variables

11.4.3 Factor variables

11.4.3.1 Factor-variable operators

11.4.3.2 Base levels

11.4.3.3 Setting base levels permanently

11.4.3.4 Selecting levels

11.4.3.5 Applying operators to a group of variables

11.4.3.6 Using factor variables with time-series operators

11.4.3.7 Video examples

11.4.4 Time-series varlists11.4.3.2 Base levels

11.4.3.3 Setting base levels permanently

11.4.3.4 Selecting levels

11.4.3.5 Applying operators to a group of variables

11.4.3.6 Using factor variables with time-series operators

11.4.3.7 Video examples

11.6 Filenaming conventions

11.6.1 A special note for Mac users

11.6.2 A special note for Unix users

11.7 References11.6.2 A special note for Unix users

12.1 Data and datasets

12.2 Numbers

12.4 Strings

12.8 Characteristics

12.9 Data Editor and Variables Manager

12.10 Reference

12.2 Numbers

12.2.1 Missing values

12.2.2 Numeric storage types

12.3 Dates and times12.2.2 Numeric storage types

12.4 Strings

12.4.1 Strings containing identifying data

12.4.2 Strings containing categorical data

12.4.3 Strings containing numeric data

12.4.4 String storage types

12.5 Formats: Controlling how data are displayed12.4.2 Strings containing categorical data

12.4.3 Strings containing numeric data

12.4.4 String storage types

12.5.1 Numeric formats

12.5.2 European numeric formats

12.5.3 Date and time formats

12.5.4 String formats

12.6 Dataset, variable, and value labels12.5.2 European numeric formats

12.5.3 Date and time formats

12.5.4 String formats

12.6.1 Dataset labels

12.6.2 Variable labels

12.6.3 Value labels

12.6.4 Labels in other languages

12.7 Notes attached to data12.6.2 Variable labels

12.6.3 Value labels

12.6.4 Labels in other languages

12.8 Characteristics

12.9 Data Editor and Variables Manager

12.10 Reference

13.1 Overview

13.2 Operators

13.4 System variables (_variables)

13.5 Accessing coefficients and standard errors

13.7 Explicit subscripting

13.9 Time-series operators

13.11 Precision and problems therein

13.12 References

13.2 Operators

13.2.1 Arithmetic operators

13.2.2 String operators

13.2.3 Relational operators

13.2.4 Logical operators

13.2.5 Order of evaluation, all operators

13.3 Functions13.2.2 String operators

13.2.3 Relational operators

13.2.4 Logical operators

13.2.5 Order of evaluation, all operators

13.4 System variables (_variables)

13.5 Accessing coefficients and standard errors

13.5.1 Single-equation models

13.5.2 Multiple-equation models

13.5.3 Factor variables and time-series operators

13.6 Accessing results from Stata commands13.5.2 Multiple-equation models

13.5.3 Factor variables and time-series operators

13.7 Explicit subscripting

13.7.1 Generating lags and leads

13.7.2 Subscripting within groups

13.8 Indicator values for levels of factor variables13.7.2 Subscripting within groups

13.9 Time-series operators

13.9.1 Generating lags, leads, and differences

13.9.2 Time-series operators and factor variables

13.9.3 Operators within groups

13.9.4 Video example

13.10 Label values13.9.2 Time-series operators and factor variables

13.9.3 Operators within groups

13.9.4 Video example

13.11 Precision and problems therein

13.12 References

14.1 Overview

14.4 Inputting matrices by hand

14.5 Accessing matrices created by Stata commands

14.6 Creating matrices by accumulating data

14.7 Matrix operators

14.8 Matrix functions

14.9 Subscripting

14.10 Using matrices in scalar expressions

14.11 Reference

14.1.1 Definition of a matrix

14.1.2 matsize

14.2 Row and column names 14.1.2 matsize

14.2.1 The purpose of row and column names

14.2.2 Two-part names

14.2.3 Setting row and column names

14.2.4 Obtaining row and column names

14.3 Vectors and scalars14.2.2 Two-part names

14.2.3 Setting row and column names

14.2.4 Obtaining row and column names

14.4 Inputting matrices by hand

14.5 Accessing matrices created by Stata commands

14.6 Creating matrices by accumulating data

14.7 Matrix operators

14.8 Matrix functions

14.9 Subscripting

14.10 Using matrices in scalar expressions

14.11 Reference

15.1 Overview

15.3 Logging only what you type

15.4 The log-button alternative

15.5 Printing logs

15.6 Creating multiple log files simultaneously

15.1.1 Starting and closing logs

15.1.2 Appending to an existing log

15.1.3 Suspending and resuming logging

15.2 Placing comments in logs15.1.2 Appending to an existing log

15.1.3 Suspending and resuming logging

15.3 Logging only what you type

15.4 The log-button alternative

15.5 Printing logs

15.6 Creating multiple log files simultaneously

16.1 Description

16.3 Creating and running do-files

16.1.1 Version

16.1.2 Comments and blank lines in do-files

16.1.3 Long lines in do-files

16.1.4 Error handling in do-files

16.1.5 Logging the output of do-files

16.1.6 Preventing —more— conditions

16.2 Calling other do-files16.1.2 Comments and blank lines in do-files

16.1.3 Long lines in do-files

16.1.4 Error handling in do-files

16.1.5 Logging the output of do-files

16.1.6 Preventing —more— conditions

16.3 Creating and running do-files

16.3.1 Creating and running do-files for Windows

16.3.2 Creating and running do-files for Mac

16.3.3 Creating and running do-files for Unix

16.4 Programming with do-files16.3.2 Creating and running do-files for Mac

16.3.3 Creating and running do-files for Unix

16.4.1 Argument passing

16.4.2 Suppressing output

16.5 References16.4.2 Suppressing output

17.1 Description

17.2 What is an ado-file?

17.3 How can I tell if a command is built in or an ado-file?

17.4 How can I look at an ado-file?

17.5 Where does Stata look for ado-files?

17.7 How do I add my own ado-files?

17.8 How do I install official updates?

17.9 How do I install updates to user-written additions?

17.10 Reference

17.2 What is an ado-file?

17.3 How can I tell if a command is built in or an ado-file?

17.4 How can I look at an ado-file?

17.5 Where does Stata look for ado-files?

17.5.1 Where are the official ado-directory?

17.5.2 Where is my personal ado-directory?

17.6 How do I install an addition?17.5.2 Where is my personal ado-directory?

17.7 How do I add my own ado-files?

17.8 How do I install official updates?

17.9 How do I install updates to user-written additions?

17.10 Reference

18.1 Description

18.2 Relationship between a program and a do-file

18.3 Macros

18.6 Temporarily destroying the data in memory

18.7 Temporary objects

18.9 Accessing results calculated by estimation commands

18.10 Saving results

18.13 References

18.2 Relationship between a program and a do-file

18.3 Macros

18.3.1 Local macros

18.3.2 Global macros

18.3.3 The difference between local and global macros

18.3.4 Macros and expressions

18.3.5 Double quotes

18.3.6 Extended macro functions

18.3.7 Macro increment and decrement functions

18.3.8 Macro expressions

18.3.9 Advanced local macro manipulation

18.3.10 Advanced global macro manipultation

18.3.11 Constructing Windows filenames by using macros

18.3.12 Accessing system values

18.3.13 Referring to characteristics

18.4 Program arguments18.3.2 Global macros

18.3.3 The difference between local and global macros

18.3.4 Macros and expressions

18.3.5 Double quotes

18.3.6 Extended macro functions

18.3.7 Macro increment and decrement functions

18.3.8 Macro expressions

18.3.9 Advanced local macro manipulation

18.3.10 Advanced global macro manipultation

18.3.11 Constructing Windows filenames by using macros

18.3.12 Accessing system values

18.3.13 Referring to characteristics

18.4.1 Named positional arguments

18.4.2 Incrementing through positional arguments

18.4.3 Using macro shift

18.4.4 Parsing standard Stata syntax

18.4.5 Parsing immediate commands

18.4.6 Parsing nonstandard syntax

18.5 Scalars and matrices18.4.2 Incrementing through positional arguments

18.4.3 Using macro shift

18.4.4 Parsing standard Stata syntax

18.4.5 Parsing immediate commands

18.4.6 Parsing nonstandard syntax

18.6 Temporarily destroying the data in memory

18.7 Temporary objects

18.7.1 Temporary variables

18.7.2 Temporary scalars and matrices

18.7.3 Temporary files

18.8 Accessing results calculated by other programs18.7.2 Temporary scalars and matrices

18.7.3 Temporary files

18.9 Accessing results calculated by estimation commands

18.10 Saving results

18.10.1 Saving results in r()

18.10.2 Saving results in e()

18.10.3 Saving results in s()

18.11 Ado-files18.10.2 Saving results in e()

18.10.3 Saving results in s()

18.11.1 Version

18.11.2 Comments and long lines in ado-files

18.11.3 Debugging ado-files

18.11.4 Local subroutines

18.11.5 Development of a sample ado-command

18.11.6 Writing system help

18.11.7 Programming dialog boxes

18.12 A compendium of useful commands for programmers18.11.2 Comments and long lines in ado-files

18.11.3 Debugging ado-files

18.11.4 Local subroutines

18.11.5 Development of a sample ado-command

18.11.6 Writing system help

18.11.7 Programming dialog boxes

18.13 References

19.1 Overview

19.1.1 Examples

19.1.2 A list of the immediate commands

19.2 The display command 19.1.2 A list of the immediate commands

20.1 All estimation commands work the same way

20.2 Standard syntax

20.3 Replaying prior results

20.4 Cataloging estimation results

20.5 Saving estimation results

20.6 Specifying the estimation subsample

20.7 Specifying the width of confidence intervals

20.8 Formatting the coefficient table

20.9 Obtaining the variance–covariance matrix

20.10 Obtaining predicted values

20.12 Performing hypothesis tests on the coefficients

20.14 Obtaining nonlinear combinations of coefficients

20.15 Obtaining marginal means, adjusted predictions, and predictive margins

20.18 Obtaining contrasts, tests of interactions, and main effects

20.19 Graphing margins, marginal effects, and contrasts

20.20 Dynamic forecasts and simulations

20.21 Obtaining robust variance estimates

20.23 Weighted estimation

20.25 References

20.2 Standard syntax

20.3 Replaying prior results

20.4 Cataloging estimation results

20.5 Saving estimation results

20.6 Specifying the estimation subsample

20.7 Specifying the width of confidence intervals

20.8 Formatting the coefficient table

20.9 Obtaining the variance–covariance matrix

20.10 Obtaining predicted values

20.10.1 Using predict

20.10.2 Making in-sample predictions

20.10.3 Making out-of-sample predictions

20.10.4 Obtaining standard errors, tests, and confidence intervals for predictions

20.11 Accessing estimated coefficients20.10.2 Making in-sample predictions

20.10.3 Making out-of-sample predictions

20.10.4 Obtaining standard errors, tests, and confidence intervals for predictions

20.12 Performing hypothesis tests on the coefficients

20.12.1 Linear tests

20.12.2 Using test

20.12.3 Likelihood-ratio tests

20.12.4 Nonlinear Wald tests

20.13 Obtaining linear combinations of coefficients20.12.2 Using test

20.12.3 Likelihood-ratio tests

20.12.4 Nonlinear Wald tests

20.14 Obtaining nonlinear combinations of coefficients

20.15 Obtaining marginal means, adjusted predictions, and predictive margins

20.15.1 Obtaining estimated marginal means

20.15.2 Obtaining adjusted predictions

20.15.3 Obtaining predictive margins

20.16 Obtaining conditional and average marginal effects20.15.2 Obtaining adjusted predictions

20.15.3 Obtaining predictive margins

20.16.1 Obtaining conditional marginal effects

20.16.2 Obtaining average marginal effects

20.17 Obtaining pairwise comparisons20.16.2 Obtaining average marginal effects

20.18 Obtaining contrasts, tests of interactions, and main effects

20.19 Graphing margins, marginal effects, and contrasts

20.20 Dynamic forecasts and simulations

20.21 Obtaining robust variance estimates

20.21.1 Interpreting standard errors

20.21.2 Correlated errors: cluster-robust standard errors

20.22 Obtaining scores20.21.2 Correlated errors: cluster-robust standard errors

20.23 Weighted estimation

20.23.1 Frequency weights

20.23.2 Analytic weights

20.23.3 Sampling weights

20.23.4 Importance weights

20.24 A list of postestimation commands20.23.2 Analytic weights

20.23.3 Sampling weights

20.23.4 Importance weights

20.25 References

Advice

21.1 Overview

21.2 Determining which input method to use

21.4 Transfer programs

21.6 References

21.2 Determining which input method to use

21.2.1 Entering data interactively

21.2.2 Copying and pasting data

21.2.4 If the data are simple

21.2.5 If the dataset is formatted and the formatting is significant

21.2.6 If there are no string variables

21.2.7 If all the string variables are enclosed in quotes

21.2.8 If the undelimited strings have no blanks

21.2.9 If you have EBCDIC data

21.2.10 If you make it to here

21.3 If you run out of memory21.2.2 Copying and pasting data

21.2.2.1 Video Example

21.2.3 If the dataset is in binary format21.2.4 If the data are simple

21.2.5 If the dataset is formatted and the formatting is significant

21.2.6 If there are no string variables

21.2.7 If all the string variables are enclosed in quotes

21.2.8 If the undelimited strings have no blanks

21.2.9 If you have EBCDIC data

21.2.10 If you make it to here

21.4 Transfer programs

21.4.1 Video Example

21.5 ODBC sources21.6 References

22.1 Reference

23.1 Description

23.2 Categorical string variables

23.3 Mistaken string variables

23.4 Complex strings

23.5 Reference

23.2 Categorical string variables

23.3 Mistaken string variables

23.4 Complex strings

23.5 Reference

24.1 Overview

24.2 Inputting dates and times

24.3 Displaying dates and times

24.4 Typing dates and times (datetime literals)

24.5 Extracting components of dates and times

24.6 Converting between date and time values

24.7 Business dates and calendars

24.8 Reference

24.2 Inputting dates and times

24.3 Displaying dates and times

24.4 Typing dates and times (datetime literals)

24.5 Extracting components of dates and times

24.6 Converting between date and time values

24.7 Business dates and calendars

24.8 Reference

25.1 Continuous, categorical, and indicator variables

25.1.1 Converting continuous variables to indicator variables

25.1.2 Converting continuous variables to categorical variables

25.2 Estimation with factor variables 25.1.2 Converting continuous variables to categorical variables

25.2.1 Including factor variables

25.2.2 Specifying base levels

25.2.3 Setting base levels permanently

25.2.4 Testing significance of a main effect

25.2.5 Specifying indicator (dummy) variables as factor variables

25.2.6 Including interactions

25.2.7 Testing significance of interactions

25.2.8 Including factorial specifications

25.2.9 Including squared terms and polynomials

25.2.10 Including interactions with continuous variables

25.2.11 Parentheses binding

25.2.12 Including indicators for single levels

25.2.13 Including subgroups of levels

25.2.14 Combining factor variables and time-series operators

25.2.15 Treatment of empty cells

25.2.2 Specifying base levels

25.2.3 Setting base levels permanently

25.2.4 Testing significance of a main effect

25.2.5 Specifying indicator (dummy) variables as factor variables

25.2.6 Including interactions

25.2.7 Testing significance of interactions

25.2.8 Including factorial specifications

25.2.9 Including squared terms and polynomials

25.2.10 Including interactions with continuous variables

25.2.11 Parentheses binding

25.2.12 Including indicators for single levels

25.2.13 Including subgroups of levels

25.2.14 Combining factor variables and time-series operators

25.2.15 Treatment of empty cells

26.1 Introduction

26.2 Means, proportions, and related statistics

26.3 Linear regression with simple error structures

26.4 Structural equation models (SEM)

26.5 ANOVA, ANCOVA, MANOVA, and MANCOVA

26.6 Generalized linear models

26.7 Binary-outcome qualitative dependent-variable models

26.8 ROC analysis

26.9 Conditional logistic regression

26.10 Multiple-outcome qualitative dependent-variable models

26.11 Count dependent-variable models

26.12 Exact estimators

26.13 Linear regression with heteroskedastic errors

26.14 Stochastic frontier models

26.15 Regression with systems of equations

26.16 Models with endogenous sample selection

26.17 Models with time-series data

26.18 Panel-data models

26.20 Survival-time (failure-time) models

26.21 Treatment-effect models

26.22 Generalized method of moments (GMM)

26.23 Estimation wtih correlated errors

26.24 Survey data

26.25 Multiple imputation

26.26 Multivariate and cluster analysis

26.27 Pharmacokinetic data

26.28 Specification search tools

26.29 Power and sample size

26.30 Obtaining new estimation commands

26.31 Reference

26.2 Means, proportions, and related statistics

26.3 Linear regression with simple error structures

26.4 Structural equation models (SEM)

26.5 ANOVA, ANCOVA, MANOVA, and MANCOVA

26.6 Generalized linear models

26.7 Binary-outcome qualitative dependent-variable models

26.8 ROC analysis

26.9 Conditional logistic regression

26.10 Multiple-outcome qualitative dependent-variable models

26.11 Count dependent-variable models

26.12 Exact estimators

26.13 Linear regression with heteroskedastic errors

26.14 Stochastic frontier models

26.15 Regression with systems of equations

26.16 Models with endogenous sample selection

26.17 Models with time-series data

26.18 Panel-data models

26.18.1 Linear regression with panel data

26.18.2 Censored linear regression with panel data

26.18.3 Generalized linear models with panel data

26.18.4 Qualitative dependent-variable models with panel data

26.18.5 Count dependent-variable models with panel data

26.18.6 Random-coefficient models with panel data

26.19 Multilevel mixed-effects models26.18.2 Censored linear regression with panel data

26.18.3 Generalized linear models with panel data

26.18.4 Qualitative dependent-variable models with panel data

26.18.5 Count dependent-variable models with panel data

26.18.6 Random-coefficient models with panel data

26.20 Survival-time (failure-time) models

26.21 Treatment-effect models

26.22 Generalized method of moments (GMM)

26.23 Estimation wtih correlated errors

26.24 Survey data

26.25 Multiple imputation

26.26 Multivariate and cluster analysis

26.27 Pharmacokinetic data

26.28 Specification search tools

26.29 Power and sample size

26.30 Obtaining new estimation commands

26.31 Reference

27.1 41 commands

27.2 The by construct

27.2 The by construct

28.1 Overview

28.2 Sharing datasets (and other files)

28.3 Official updates

28.2 Sharing datasets (and other files)

28.3 Official updates

28.3.1 Frequently asked questions about updating

28.4 Downloading and managing additions by users
28.4.1 Downloading files

28.4.2 Managing files

28.4.3 Finding files to download

28.4.4 Updating additions by users

28.4.5 Video examples

28.5 Making your own download site 28.4.2 Managing files

28.4.3 Finding files to download

28.4.4 Updating additions by users

28.4.5 Video examples