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Stata

Stata is an extremely robust and popular general statistical software program.

The Analysis Factor has numerous resources about Stata, many of them listed below.

Blog posts about Stata

  • The Wonderful World of User Written Commands in Stata

  • Missing Data Diagnosis in Stata: Investigating Missing Data in Regression Models

  • Using the Same Sample for Different Models in Stata

  • Using the Collapse Command in Stata

  • Hierarchical Regression in Stata: An Easy Method to Compare Model Results

  • Stata Loops and Macros for Large Data Sets: Quickly Finding Needles in the Hay Stack

  • Using Stored Calculations in Stata to Center Predictors: an Example

  • Argggh! How Do I Output Tables and Graphs From Stata?

  • Loops in Stata: Making coding easy

  • Macros in Stata, Why and How to Use Them

  • Why Use Stata?

  • Using Stata Efficiently to Understand Your Data

  • Opposite Results in Ordinal Logistic Regression—Solving a Statistical Mystery

Live Online Stata Workshops

  • Introduction to Data Analysis with Stata

  • Managing Data and Optimizing Output in Stata: Taking Your Stata Skills to a Higher Level

     

Free Craft of Statistical Analysis Webinar Recordings

  • How to Benefit from Stata’s Bountiful Help Resources

  • Five Tips and Tricks: How to Make Stata Easier to Use

  • Statistically Speaking Webinar

    • April 2018: Tests of Equivalence and Non-Inferiority
  • Upcoming Workshops

    • Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models
    • Logistic Regression: Binary, Ordinal, and Multinomial Variables
  • Free Webinars

    • Generalized Linear Mixed Models
  • Search

  • Read Our Book



    Data Analysis with SPSS
    (4th Edition)

    by Stephen Sweet and
    Karen Grace-Martin

  • Statistical Resources by Topic

    • Analysis of Variance and Covariance
    • Books
    • Complex Surveys & Sampling
    • Count Regression Models
    • Effect Size Statistics, Power, and Sample Size Calculations
    • Linear Regression
    • Logistic Regression
    • Missing Data
    • Mixed and Multilevel Models
    • R
    • SPSS
    • Stata

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