Berlin Heart Study R Shiny App
project
R
Shiny
statistics
An R Shiny web app to predict how long a pediatric patient will wait for a heart transplant.
I created this R Shiny app for the Berlin Heart Study to estimate the wait time for a heart donor match for pediatric patients in New Zealand.
The estimation algorithm uses the following techniques:
Expected value of a geometric distribution
Poisson regression
Quantile regression with WHO childhood growth standards
Clopper-Pearson confidence intervals
While this app isn’t available publicly, a screen recording demonstration can be seen at the link below.