Several steps are necessary to perform a multivariable (multivariate) analysis: Formalizing the research hypothesis Select the outcome variable Y Select the explanatory variables X Identify the adjustment variables Check that the conditions are met Check the robustness of the model Formalizing the research hypothesis All research requires hypotheses to be made. For...

Essential concepts Excel is organized as a table, containing rows, columns and their intersection: the cells. The rows are numbered, the columns are identified by a letter (for example the 3rd column is cell C). A cell is referred to by its column letter followed by its row number (E1 is...

It is sometimes surprising not to be able to carry out a multivariate analysis because the number of subjects is too small while the file contains several hundred observations (patients, subjects). Linear regressions For linear regressions, i. e. multivariate analyses for which the outcome variable is numerical, it is necessary to have...