When the outcome variable is quantitative and continuous, the appropriate statistical model is the linear regression When there is only one explanatory variable which is qualitative, linear regression yields a result close to a Welch or Student T test In an attempt to simplify this, we will name Y the variable that...

We can consider the following three types of analyses: descriptive analyses, univariate analyses and multivariable (often unproperly named multivariate) analyses Descriptive analyses are used to describe the data, and are useful for detecting problems Univariate and multivariable analyses allow statistical comparisons (obtaining a p-value), and only multivariable analyses allow confounding factors to...

It is sometimes surprising not to be able to carry out a multivariablee 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. multivariable analyses for which the outcome variable is numerical, it is necessary to have...