Dynamic Risk Prediction of Treatment Discontinuation Using Patient-Reported Outcomes Data in the Phase III NSABP B-35 Trial

Predicting an individual's risk of treatment discontinuation is critical for the implementation of precision chemoprevention. We developed partly conditional survival models to predict discontinuation of tamoxifen or anastrozole using patient-reported outcome (PRO) data from postmenopausal wome...

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Detalles Bibliográficos
Autores principales: Calsavara, Vinicius F., Henry, Norah L., Hays, Ron D., Kim, Sungjin, Luu, Michael, Diniz, Márcio A., Gresham, Gillian, Cecchini, Reena S., Yothers, Greg, Ganz, Patricia A., Rogatko, André, Tighiouart, Mourad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618646/
https://www.ncbi.nlm.nih.gov/pubmed/37756580
http://dx.doi.org/10.1158/1940-6207.CAPR-23-0216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618646/
https://www.ncbi.nlm.nih.gov/pubmed/37756580
http://dx.doi.org/10.1158/1940-6207.CAPR-23-0216

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