NHS Cancer Waiting-Time Analysis, Benchmarking and Multilevel Modelling

Provides tools for importing, harmonising, cleaning, analysing, benchmarking and visualising National Health Service (NHS) England Cancer Waiting Times data. The package supports national performance monitoring, provider-level benchmarking and cancer pathway comparisons through key performance indicator summaries, provider filtering, clustering analyses, mixed-effects regression models, variance decomposition, intraclass correlation coefficient estimation, adjusted provider performance estimation and sensitivity analyses. Functions are included for exploratory analysis, publication-ready visualisations and spreadsheet exports, supporting reproducible health services research, cancer services evaluation, quality improvement and assessment of waiting-time performance across healthcare organisations. Mixed-effects modelling functionality is based on Bates et al. (2015) . Multilevel modelling concepts and variance decomposition follow Gelman and Hill (2007, ISBN:9780521686891). Cancer Waiting Times definitions and reporting standards follow NHS England < https://www.england.nhs.uk/statistics/statistical-work-areas/cancer-waiting-times/>.


nhscancerwaits

The goal of nhscancerwaits is to ...

Installation

You can install the development version of nhscancerwaits like so:

# FILL THIS IN! HOW CAN PEOPLE INSTALL YOUR DEV PACKAGE?

Example

This is a basic example which shows you how to solve a common problem:

library(nhscancerwaits)
## basic example code

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("nhscancerwaits")

1.0.2 by Muhammad Zahir Khan, 4 months ago


https://github.com/zerish12/nhscancerwaits


Report a bug at https://github.com/zerish12/nhscancerwaits/issues


Browse source code at https://github.com/cran/nhscancerwaits


Authors: Muhammad Zahir Khan [aut, cre] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, tidyr, readr, readxl, stringr, lubridate, rlang, ggplot2, scales, lme4, broom.mixed, performance, cluster, stats, writexl

Suggests testthat, knitr, rmarkdown, quarto, covr


See at CRAN