The Complete Guide to Stata

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The Complete Guide to Stata

Learning and applying new statistical techniques can be daunting experience.

This is especially true once one engages with “real life” data sets that do not allow for easy “click-and-go” analysis, but require a deeper level of understanding of programme coding, data manipulation, output interpretation, output formatting and selecting the right kind of analytical methodology.

In this course you will receive a comprehensive introduction to Stata and its various uses in modern data analysis. You will learn to understand the many options that Stata gives you in manipulating, exploring, visualizing and modelling complex types of data. By the end of the course you will feel confident in your ability to engage with Stata and handle complex data analytics. The focus of each session will consistently be on creating a “good practice” and emphasising the practical application – and interpretation – of commonly used statistical techniques without resorting to deep statistical theory or equations.

This course consists of three sub-courses that will 1) teach you the essentials of Stata 2) provide you with tips and tricks for Stata and 3) teach you advanced data visualization techniques.

No prior engagement with is Stata needed. Some prior statistics knowledge will help but is not necessary.

The course is aimed at anyone interested in data analytics using Stata.

Like for other professional statistical packages the course focuses on the proper application - and interpretation - of code.

Some basic quantitative/statistical knowledge will be required; this is not an introduction to statistics course but rather the application and interpretation of such using Stata.

Topics covered include:

1. Getting started with Stata

2. Viewing and exploring data

3. Manipulating data

4. Visualising data

5. Correlation and ANOVA

6. Regression including diagnostics (Ordinary Least Squares)

7. Regression model building

8. Hypothesis testing

9. Binary outcome models (Logit and Probit)

10. Fractional response models (Fractional Logit and Beta Regression)

11. Categorical choice models (Ordered Logit and Multinomial Logit)

12. Simulation techniques (Random Numbers and Simulation)

13. Count data models (Poisson and Negative Binomial Regression)

14. Survival data analysis (Parametric, Cox-Proportional Hazard and Parametric Survival Regression)

15. Panel data analysis (Long Form Data, Lags and Leads, Random and Fixed Effects, Hausman Test and Non-Linear Panel Regression)

16. Difference-in-differences analysis (Difference-in-Difference and Parallel Trends)

17. Instrumental variable regression (Endogenous Variables, Sample Selection, Non-Linear Endogenous Models)

18. Epidemiological tables (Cohort Studies, Case-Control Studies and Matched Case-Control Studies)

19. Power analysis (Sample Size, Power Size and Effect Size)

20. Matrix operations (Matrix operators, Matrix functions, Matrix subscripting)

There are also 125 tips and tricks for Stata. These tips are aimed at helping you become a Stata master! They cover a wide range of issues the following topics:

• Data management

• Graphing

• Statistics

• Programming.

Each tip is designed to be stand-alone and will take no more than 2 minutes.

Finally, you will be shown some of the most important data visualization methods and learn what ae the advantages and disadvantages of each technique are. A wide variety of graphs are highlighted in great detail including:

• Histograms

• Density plots

• Spike plots

• Rootograms

• Box plots

• Violin plots

• Stem-and-Leaf plots

• Quantile plots

• Bar graphs

• Pie charts

• Dot charts

• Radar plots

• Scatter plots

• Heat plots

• Hex plots

• Sunflower plots

• Lines of best fit

• Area plots

• Line plots

• Range plots

• Rainbow plots

• Jitter plots

• Table plots

• Baloon plots

• Mosaic plots

• Chernoff faces

• Sparkling plots

• Bubble plots

• and more

Depending on your desired learning outcomes you may wish to focus on specific parts.

1. To gain a basic understanding of Stata watch sections 2, 3, 4, 5, 6, 7 and 8

2. To learn advanced Stata concepts watch sections 8, 9, 10, 11, 12, 13, 14, 15, 16 and 17

3. To learn fast tips for Stata watch sections 18, 19, 20 and 21

4. To learn all about data visualisation in Stata watch sections 5, 21, 22, 23, 24, 25 and 26

5. To learn data management concepts watch sections 3, 4 and 18