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nhs.predict  

Breast Cancer Survival and Therapy Benefits
View on CRAN: Click here


Download and install nhs.predict package within the R console
Install from CRAN:
install.packages("nhs.predict")

Install from Github:
library("remotes")
install_github("cran/nhs.predict")

Install by package version:
library("remotes")
install_version("nhs.predict", "1.4.0")



Attach the package and use:
library("nhs.predict")
Maintained by
Giovanni Tramonti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2020-10-05
Description:
Calculate Overall Survival or Recurrence-Free Survival for breast cancer patients, using 'NHS Predict'. The time interval for the estimation can be set up to 15 years, with default at 10. Incremental therapy benefits are estimated for hormone therapy, chemotherapy, trastuzumab, and bisphosphonates. An additional function, suited for SCAN audits, features a more user-friendly version of the code, with fewer inputs, but necessitates the correct standardised inputs. This work is not affiliated with the development of 'NHS Predict' and its underlying statistical model. Details on 'NHS Predict' can be found at: . The web version of 'NHS Predict': . A small dataset of 50 fictional patient observations is provided for the purpose of running examples with the main two functions, and an additional dataset is provided for running example with the dedicated SCAN function.
How to cite:
Giovanni Tramonti (2020). nhs.predict: Breast Cancer Survival and Therapy Benefits. R package version 1.4.0, https://cran.r-project.org/web/packages/nhs.predict. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.2.0 (2020-06-09 15:50)
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View nhs.predict citation profile
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Complete documentation for nhs.predict
Functions, R codes and Examples using the nhs.predict R package
Some associated functions: example_data . os.predict . rfs.predict . scan.predict . scan_example_data . 
Some associated R codes: predict.os.R . predict.rfs.R . predict.scan.R .  Full nhs.predict package functions and examples
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