Michael Mitchell’s Create and Export Tables Using Stata shows you how to create tables of summary statistics and regression results using Stata’s table, dtable, and etable commands, as well as the collect suite of commands. Mitchell examined hundreds of published journal articles from many disciplines, searching for commonly used table layouts. This book breaks down how to create the most popularly used tables by guiding you through examples and giving you a look "under the hood" of the collect system in Stata.

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• Introduction Read me first Overview of creating tables in Stata Overview of this book Introduction to making and exporting tables Using Unicode characters Useful Stata concepts and commands Twenty-four sample tables Sample 1: Regression with model statistics in the footer Sample 2: Regression with multiple outcomes Sample 3: Regression with multiple groups Sample 4: Regression with multiple models Sample 4b: Regression with multiple models using etable Sample 5: Regression with multiple outcomes and multiple groups Sample 6: Regression with multiple models and multiple groups Sample 7: Regression with multiple outcomes and multiple models Sample 8: Regression with multiple outcomes, multiple models, and multiple groups Sample 9: Student’s t test Sample 10: Student’s t test with Cohen’s d Sample 11: Student’s t test with difference in means Sample 12: Student’s t test with Cohen’s d and difference in means Sample 13: Columns of correlations Sample 14: Column of correlations: Two groups Sample 15: Correlation matrix Sample 16: Correlation matrix with mean and SD in columns Sample 17: Correlation matrix with mean and SD in rows Sample 18: Pretest–posttest randomized controlled trial Sample 19: Table 1 showing all categorical variables, one group Sample 20: Table 1 showing categorical variables by two groups Sample 21: Table 1 showing categorical variables by two groups, with p-values Sample 22: Table 1 showing categorical and continuous variables by two groups Sample 23: Table 1 showing categorical and continuous variables by two groups, with p-values Sample 24: Table 1 showing categorical variables, only "yes" responses Creating tables of descriptive statistics with dtable Exploring how to make tables with dtable Customizing variable labels and factor labels Customizing the numeric format Customizing the string format Selecting the variable statistics Composite results Customizing titles, notes, and display of the sample frequency Grouping results with the by() option Adding row headers Complete examples Creating and exporting regression tables The big picture of creating regression tables Multiple regression models Several models (model 1, model 2, and model 3) Multivariate models Tables with multiple multivariate models Models including factor variables Models including interactions of factor variables Logistic and other nonlinear models Models with multiple equations Customizing regression tables Creating tables: Under the hood Multiple regression Regression tables with multiple models Correlations with summary statistics in the rows Correlations with summary statistics in the columns Appendixes More on exporting tables More on exporting tables to Word More on exporting PDF files More on exporting Excel files Creating tables of estimation results using etable Multiple regression Tables based on multiple estimation commands Multivariate regression Tips for handling common errors Forgetting collect clear Forgetting the modify option Changing the wrong label Ignoring notes or warnings Forgetting to display the label Making reusable code: Nested regression Table of model statistics Table with regression coefficients and model statistics Subject index

Michael Mitchell’s Create and Export Tables Using Stata shows you how to create tables of summary statistics and regression results using Stata’s table, dtable, and etable commands, as well as the collect suite of commands. Mitchell examined hundreds of published journal articles from many disciplines, searching for commonly used table layouts. This book breaks down how to create the most popularly used tables by guiding you through examples and giving you a look "under the hood" of the collect system in Stata.

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• Introduction Read me first Overview of creating tables in Stata Overview of this book Introduction to making and exporting tables Using Unicode characters Useful Stata concepts and commands Twenty-four sample tables Sample 1: Regression with model statistics in the footer Sample 2: Regression with multiple outcomes Sample 3: Regression with multiple groups Sample 4: Regression with multiple models Sample 4b: Regression with multiple models using etable Sample 5: Regression with multiple outcomes and multiple groups Sample 6: Regression with multiple models and multiple groups Sample 7: Regression with multiple outcomes and multiple models Sample 8: Regression with multiple outcomes, multiple models, and multiple groups Sample 9: Student’s t test Sample 10: Student’s t test with Cohen’s d Sample 11: Student’s t test with difference in means Sample 12: Student’s t test with Cohen’s d and difference in means Sample 13: Columns of correlations Sample 14: Column of correlations: Two groups Sample 15: Correlation matrix Sample 16: Correlation matrix with mean and SD in columns Sample 17: Correlation matrix with mean and SD in rows Sample 18: Pretest–posttest randomized controlled trial Sample 19: Table 1 showing all categorical variables, one group Sample 20: Table 1 showing categorical variables by two groups Sample 21: Table 1 showing categorical variables by two groups, with p-values Sample 22: Table 1 showing categorical and continuous variables by two groups Sample 23: Table 1 showing categorical and continuous variables by two groups, with p-values Sample 24: Table 1 showing categorical variables, only "yes" responses Creating tables of descriptive statistics with dtable Exploring how to make tables with dtable Customizing variable labels and factor labels Customizing the numeric format Customizing the string format Selecting the variable statistics Composite results Customizing titles, notes, and display of the sample frequency Grouping results with the by() option Adding row headers Complete examples Creating and exporting regression tables The big picture of creating regression tables Multiple regression models Several models (model 1, model 2, and model 3) Multivariate models Tables with multiple multivariate models Models including factor variables Models including interactions of factor variables Logistic and other nonlinear models Models with multiple equations Customizing regression tables Creating tables: Under the hood Multiple regression Regression tables with multiple models Correlations with summary statistics in the rows Correlations with summary statistics in the columns Appendixes More on exporting tables More on exporting tables to Word More on exporting PDF files More on exporting Excel files Creating tables of estimation results using etable Multiple regression Tables based on multiple estimation commands Multivariate regression Tips for handling common errors Forgetting collect clear Forgetting the modify option Changing the wrong label Ignoring notes or warnings Forgetting to display the label Making reusable code: Nested regression Table of model statistics Table with regression coefficients and model statistics Subject index

Michael Mitchell’s Create and Export Tables Using Stata shows you how to create tables of summary statistics and regression results using Stata’s table, dtable, and etable commands, as well as the collect suite of commands. Mitchell examined hundreds of published journal articles from many disciplines, searching for commonly used table layouts. This book breaks down how to create the most popularly used tables by guiding you through examples and giving you a look "under the hood" of the collect system in Stata.

Select Guide Rating

• Introduction Read me first Overview of creating tables in Stata Overview of this book Introduction to making and exporting tables Using Unicode characters Useful Stata concepts and commands Twenty-four sample tables Sample 1: Regression with model statistics in the footer Sample 2: Regression with multiple outcomes Sample 3: Regression with multiple groups Sample 4: Regression with multiple models Sample 4b: Regression with multiple models using etable Sample 5: Regression with multiple outcomes and multiple groups Sample 6: Regression with multiple models and multiple groups Sample 7: Regression with multiple outcomes and multiple models Sample 8: Regression with multiple outcomes, multiple models, and multiple groups Sample 9: Student’s t test Sample 10: Student’s t test with Cohen’s d Sample 11: Student’s t test with difference in means Sample 12: Student’s t test with Cohen’s d and difference in means Sample 13: Columns of correlations Sample 14: Column of correlations: Two groups Sample 15: Correlation matrix Sample 16: Correlation matrix with mean and SD in columns Sample 17: Correlation matrix with mean and SD in rows Sample 18: Pretest–posttest randomized controlled trial Sample 19: Table 1 showing all categorical variables, one group Sample 20: Table 1 showing categorical variables by two groups Sample 21: Table 1 showing categorical variables by two groups, with p-values Sample 22: Table 1 showing categorical and continuous variables by two groups Sample 23: Table 1 showing categorical and continuous variables by two groups, with p-values Sample 24: Table 1 showing categorical variables, only "yes" responses Creating tables of descriptive statistics with dtable Exploring how to make tables with dtable Customizing variable labels and factor labels Customizing the numeric format Customizing the string format Selecting the variable statistics Composite results Customizing titles, notes, and display of the sample frequency Grouping results with the by() option Adding row headers Complete examples Creating and exporting regression tables The big picture of creating regression tables Multiple regression models Several models (model 1, model 2, and model 3) Multivariate models Tables with multiple multivariate models Models including factor variables Models including interactions of factor variables Logistic and other nonlinear models Models with multiple equations Customizing regression tables Creating tables: Under the hood Multiple regression Regression tables with multiple models Correlations with summary statistics in the rows Correlations with summary statistics in the columns Appendixes More on exporting tables More on exporting tables to Word More on exporting PDF files More on exporting Excel files Creating tables of estimation results using etable Multiple regression Tables based on multiple estimation commands Multivariate regression Tips for handling common errors Forgetting collect clear Forgetting the modify option Changing the wrong label Ignoring notes or warnings Forgetting to display the label Making reusable code: Nested regression Table of model statistics Table with regression coefficients and model statistics Subject index