Risk Model Development and Validation in Clinical Oncology: Lessons Learned.
Cancer Invest
; 41(1): 1-11, 2023 Jan.
Article
em En
| MEDLINE
| ID: mdl-36254812
ABSTRACT
Reliable risk models can greatly facilitate patient-centered inferences and decisions. Herein we summarize key considerations related to risk modeling in clinical oncology. Often overlooked challenges include data quality, missing data, effective sample size estimation, and selecting the variables to be included in the risk model. The stability and quality of the model should be carefully interrogated with particular emphasis on rigorous internal validation.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Nomogramas
/
Oncologia
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Cancer Invest
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Estados Unidos