Methods

The SMCS is committed to providing UCLouvain's scientific and academic staff with a network of skills, methodological support and computational tools to meet their needs in the field of data analysis, whether for research or teaching purposes.

Below is a compilation of the statistical methods used by the SMCS team in consultancy and taught in training courses. The list is sorted by family; you can also use the search tool.

By following the link in front of one particular method, you'll find a short explanation of it, as well as a list of the courses in which that method is covered.

List of methods by family:

Differential expression analysis
Survival analysis
Survival analysis
ROC curve
Multivariate confirmatory analysis
CFA - Confirmatory factor analysis
Mediation analysis
Path analysis
Structural regression
SEM - Structural equation model
Qualitative analysis
Qualitative analysis
Multivariate exploratory analyses
MCA - Multiple correspondence analysis
PCA - Principal component analysis
CA - Simple correspondence analysis
EFA - Exploratory factor analysis
MFA - Multiple factor analysis
Discriminant analysis
Classification trees
Clustering
Bootstrap
Statistical quality control
Process capability analysis
Measurement uncertainty calculation
Acceptance sampling
Development and monitoring of analytical methods
Run charts and control charts
Artificial Intelligence
Machine Learning
Meta-analysis
Survey methodology
Questionnaires design
Sampling
Publishing questionnaires online
Questionnaire validation
Regression model
Inference on a linear correlation coefficient
Poisson regression
Multiple linear regression
Simple linear regression
Logistic regression
Multinomial and ordinal regression
Nonlinear regression
PLS regression
Mixed models
Generalized mixed model
Linear mixed model
Key statistical tools
Key statistical tools
Planning
Power calculation
Sample size calculation
(Clinical trial) design
Experimental design
Randomization
Data processing
Data set cleaning and processing for statistical analysis
IT problems
IT problems
Bayesian statistics
Survival analysis
ANOVA
Multiple linear regression
Simple linear regression
Logistic regression
Student's t-test
Descriptive statistics
Network analysis
Statistical maps
Charts
Descriptive statistics
Summary tables
Text Mining
Nonparametric statistics
Indexes and tests of the relationship between qualitative or quantitative variables that are not normally distributed
Test of proportion and goodness of fit test
Nonparametric tests to compare means
Parametric statistics of mean comparison
ANCOVA
ANOVA
Repeated measures ANOVA
Student's t-test
Equivalence, non-inferiority and superiority tests
Software use
Software use