Data management and analysis using Stata

[5 half days] - [English]

Do you know Stata, the easy-to-use software allowing for manipulation and analysis of various data, including economic or epidemiological ones?

Stata is a very complete statistical software that is used in various fields: economics, sociology, epidemiology etc. It offers many classical and advanced functions: robust estimation methods, survival analysis, time series analysis, epidemiology tables etc. Moreover, it is possible to adapt existing functions or create new ones and share them with the community of Stata users that offers assistance and a lot of resources.

Training aims

At the end of the training, participants will be able to use Stata effectively for manipulating and analysing their data, keep records of their work and create reproducible analyses, export the results of their analyses.

Prerequisites
This training requires a basic knowledge of statistics.

Content

• Quick tour of Stata: working environment, writing commands 
• Data management: inputting data, creating variables, adding labels 
• Manipulating datasets: merge/append/reshape datasets
• Data analysis: descriptive statistics, linear regression, logistic regression
• Graphics

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

This training course is eligible for the training voucher scheme of the Walloon Region.
If you wish to use training vouchers as part of your registration, please visit the following page for further information and contact our administration office.

Tools used during training
Stata

Methods and method families discussed
Data processing
   Data set cleaning and processing for statistical analysis
Descriptive statistics
   Descriptive statistics
   Summary tables
   Charts
Nonparametric statistics
   Nonparametric tests to compare means
Parametric statistics of mean comparison
   Student's t-test
Regression model
   Simple linear regression
   Logistic regression
   Multinomial and ordinal regression
   Multiple linear regression
Software use