Related Experiment Video
Updated: Jul 13, 2026
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
The use and abuse of data: nomograms and talking to patients about clinical medicine
Seth P Lerner1, Bernard Bochner, Adam S Kibel
1Scott Department of Urology, Baylor College of Medicine, Houston, TX 77030, USA. slerner@bcm.tmc.edu
Objective:
To review the development of nomograms and consortia efforts applying these tools to model outcome predictions associated with radical cystectomy.
Findings:
Nomograms have been developed that provide individualized prediction of recurrence and survival following radical cystectomy, which provide significant improvement in predictive accuracy over tradition TNM staging.
Conclusions:
Nomograms provide individualized risk assessment and outperform expert physician and conventional models used to predict outcome. Addition of biologic markers may improve predictive capability and improve the clinical utility of these valuable tools.
Related Concept Videos
01:23Dosage Regimen Designs: Nomograms and Tabulations
01:24Data Reporting and Recording
01:10Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
01:23Types 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, controlled...
01:30Guidelines for Nursing Documentation I
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
01:15Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...