Cargando…
Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study
INTRODUCTION: Breast cancer is the most common cancer and the leading cause of cancer-related death in women worldwide. Risk prediction models may be useful to guide risk-reducing interventions (such as pharmacological agents) in women at increased risk or inform screening strategies for early detec...
Autores principales: | Clift, Ashley Kieran, Hippisley-Cox, Julia, Dodwell, David, Lord, Simon, Brady, Mike, Petrou, Stavros, Collins, Gary S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961149/ https://www.ncbi.nlm.nih.gov/pubmed/35351695 http://dx.doi.org/10.1136/bmjopen-2021-050828 |
Ejemplares similares
-
Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study
por: Clift, Ash Kieran, et al.
Publicado: (2023) -
The current status of risk-stratified breast screening
por: Clift, Ash Kieran, et al.
Publicado: (2021) -
Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol
por: Dambha-Miller, Hajira, et al.
Publicado: (2021) -
Predicting risk of emergency admission to hospital using primary care data: derivation and validation of QAdmissions score
por: Hippisley-Cox, Julia, et al.
Publicado: (2013) -
Development and validation of risk prediction algorithms to estimate future risk of common cancers in men and women: prospective cohort study
por: Hippisley-Cox, Julia, et al.
Publicado: (2015)