Stata

STATA

Module 1: Introduction to STATA

– Overview of STATA

  – What is STATA?

  – Key Features and Capabilities

  – Versions and Licensing

– Getting Started with STATA

  – Installation and Setup

  – Navigating the STATA Interface

  – Understanding STATA’s Windows and Commands

Module 2: Data Management and Input

– Importing Data

  – Importing Data from Different Formats (Excel, CSV, SAS, SPSS)

  – Using the STATA Data Editor

– Data Management

  – Data Types and Variable Formats

  – Renaming, Labeling, and Recoding Variables

  – Creating and Managing Data Sets

– Data Cleaning

  – Handling Missing Values

  – Identifying and Removing Duplicates

  – Data Transformation Techniques

Module 3: Descriptive Statistics and Data Exploration

– Summarizing Data

  – Generating Summary Statistics (Mean, Median, Mode, Standard Deviation)

  – Creating Frequency Tables and Cross-Tabulations

– Visualizing Data

  – Creating Graphs (Histograms, Bar Graphs, Box Plots)

  – Customizing Graphs (Titles, Labels, Colors)

– Exploring Relationships

  – Correlation Analysis

  – Scatter Plots and Trend Lines

Module 4: Statistical Analysis

– Hypothesis Testing

  – t-Tests (One-Sample, Two-Sample, Paired)

  – Chi-Square Tests

– Regression Analysis

  – Simple Linear Regression

  – Multiple Regression Analysis

  – Diagnostics and Model Fit

– Advanced Statistical Techniques

  – Logistic Regression

  – Poisson Regression

  – Survival Analysis

Module 5: Data Manipulation and Transformation

– Data Transformation

  – Generating New Variables (Mathematical, Logical Operations)

  – Using Functions (String, Date, Statistical Functions)

– Merging and Appending Data

  – Merging Data Sets

  – Appending Data Sets

– Reshaping Data

  – Wide-to-Long and Long-to-Wide Transformations

 

Module 6: Programming and Automation

– Writing Do-Files

  – Creating and Running Do-Files

  – Automating Repetitive Tasks

– Writing and Using STATA Programs

  – Defining and Running Custom Programs

  – Using Macros and Loops

– Error Handling and Debugging

  – Debugging Common Errors

  – Best Practices for Writing Code

Module 7: Advanced Data Analysis

– Panel Data Analysis

  – Fixed Effects and Random Effects Models

  – Difference-in-Differences

– Time Series Analysis

  – Stationarity and Unit Root Tests

  – ARIMA Models

– Structural Equation Modeling (SEM)

  – Introduction to SEM

  – Estimating and Interpreting SEM Models

Module 8: Graphics and Visualization

– Advanced Graphs

  – Creating Complex Plots (Marginal Plots, Facet Grids)

  – Customizing Graphs with Options

– Graph Exporting and Sharing

  – Exporting Graphs to Various Formats (PDF, PNG)

  – Incorporating Graphs into Reports

Module 9: Reporting and Documentation

– Generating Output Reports

  – Creating and Formatting Tables

  – Exporting Results to LaTeX, Word, and Excel

– Documenting Code and Results

  – Writing Annotated Do-Files

  – Keeping a Reproducibility Record

Module 10: Case Studies and Applications

– Real-World Applications

  – Case Studies from Various Fields (Economics, Public Health, Sociology)

– Hands-On Projects

  – Applying STATA Skills to Real Data Sets

  – Developing Comprehensive Analysis Reports

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