Related Experiment Video
Updated: Oct 4, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
SEVE project (Surgical Expertise Validity Evaluation) risk adjusted quality by standard data
Daniel Casanova1, Vassilios Papalois2
1University of Cantabria, Santander, Spain.
Abstract:
The SEVE project (Surgical Expertise Validity Evaluation) is a collaborative effort of the AEC (Spanish Association of Surgeons) and the Section of Surgery of the European Union of Medical Specialists (UEMS) that aims to develop a model and an on line application that can be used to evaluate surgical complications. The aim is to identify the optimal results that can be obtained in each intervention, in order to present them as a reference for our usual practice (benchmarking).
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...