
Methodological considerations
1. Pvalue In hypothesis testing, the pvalue is the probability that the data would occur if the null hypothesis were true. A very small pvalue means that such an observed outcome would be very…

Quantitative validation methods
Patient level data Here we present the measures used when handling patientlevel data in the context of validation: 1. Pearson correlation test See Pearson correlation test in the Hypothesis testing…

Survival analysis
This section introduces the survival analysis concept and the most popular techniques related to this subject  they are detailed in the following: 0. Survival analysis Survival analysis corresponds…

Hypothesis testing
This section provides an overview of a set of statistical tests frequently used at nova  they are detailed in the following: 1. Parametric tests Parametric tests are those that make assumptions…

Feature selection
This section aims to provide an insight into several feature selection techniques  they are described in the following: 1. Random Forest The random forest is a supervised machine learning algorithm…

Statistical modeling
This section aims to describe the most popular statistical modeling approaches and techniques  they are detailed in the following: 1. Regression Regression models describe and attempt to show the…
This article presents most of the statistical concepts used at nova.