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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:

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