[5 half days] - [starts on 18-10-2021 at 09:30] - [English] - [Louvain-la-Neuve]
Come and learn Stata! An easy software used a lot by economists and epidemiologists for their data management and analyses.
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
Location
Louvain-la-Neuve : DOYENS-03-04 - Find the location on Google Maps
- Ruelle de la Lanterne Magique - Etage -1 -
Attendance
The training is open to all but requires prior registration.
Time slots for training
18-10-2021 from 09:30 to 12:30
19-10-2021 from 09:30 to 12:30
20-10-2021 from 09:30 to 12:30
21-10-2021 from 09:30 to 12:30
22-10-2021 from 09:30 to 12:30
Rate
UCLouvain member (with an internal account), UCLouvain clinic member, UCLouvain student : Training available free of charge but registration in advance is required.
Administrative fees will be applied in case of late cancellation.
Invoice paid by a Belgian university : 100 euros per day for a total of 250 euros
Non-UCLouvain member : 200 euros per day for a total of 500 euros
Financial support
This training 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.
For more information (open)
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