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remss  

Refining Evaluation Methodology on Stage System
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/remss")

Install by package version:
library("remotes")
install_version("remss", "1.0.1")



Attach the package and use:
library("remss")
Maintained by
Yi Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-20
Latest Update: 2021-01-14
Description:
T (extent of the primary tumor), N (absence or presence and extent of regional lymph node metastasis) and M (absence or presence of distant metastasis) are three components to describe the anatomical tumor extent. TNM stage is important in treatment decision-making and outcome predicting. The existing oropharyngeal Cancer (OPC) TNM stages have not made distinction of the two sub sites of Human papillomavirus positive (HPV+) and Human papillomavirus negative (HPV-) diseases. We developed novel criteria to assess performance of the TNM stage grouping schemes based on parametric modeling adjusting on important clinical factors. These criteria evaluate the TNM stage grouping scheme in five different measures: hazard consistency, hazard discrimination, explained variation, likelihood difference, and balance. The methods are described in Xu, W., et al. (2015) .
How to cite:
Yi Zhu (2019). remss: Refining Evaluation Methodology on Stage System. R package version 1.0.1, https://cran.r-project.org/web/packages/remss. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2019-11-20 17:30)
Other packages that cited remss R package
View remss citation profile
Other R packages that remss depends, imports, suggests or enhances
Complete documentation for remss
Functions, R codes and Examples using the remss R package
Some associated functions: Rdata . balance_measure . explain_var_measure . hz_cons_measure . hz_dis_measure . lik_diff_measure . overall_rank . rank . remss . 
Some associated R codes: Rdata.R . balance_measure.R . explain_var_measure.R . explvar.R . hz_cons_measure.R . hz_dis_measure.R . lik_diff_measure.R . overall_rank.R . rank.R . remss.R .  Full remss package functions and examples
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