[3.5 hours] - [starts on 18-03-2025 at 09:00] - [English] - [Louvain-la-Neuve]
Are there missing values in the dataset that you want to analyze?
Many databases contain missing values for certain variables of interest. Ignoring them during analysis (by including only rows with no missing values) can, in many cases, lead to biased results. Methods exist to take account of the presence of missing values in the analyses of interest and thus correct the results obtained.
Training aims
The aim of this training course is to understand the possible consequences of ignoring the presence of missing values in an analysis or of using too simple solutions (such as mean imputation) and to discover some better solutions that are available in the common statistical software (such as R and SPSS).
Prerequisites
This training course require some basic knowledge of descriptive statistics and linear regression.
Content
Location
Louvain-la-Neuve : SOCRATE 068 - Find the location on Google Maps
(This is an air-conditioned room so please cover yourself!)
- Place Cardinal Mercier, 10-12 - Rez-de-chaussée -
Attendance
The training is open to all but requires prior registration.
Time slots for training
18-03-2025 from 09:00 to 12:30
Rate
UCLouvain member (with an internal account), 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 university, UCLouvain clinic member, SHS Namur member : 150 euros per day for a total of 75 euros
Company, Researcher, Non-UCLouvain member : 250 euros per day for a total of 125 euros
Financial support
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)
For more information (open)
Methods and method families discussed
Key statistical tools
Key statistical tools
Data processing
Data set cleaning and processing for statistical analysis