The tool is for power calculation of predictive biomarker. Calculation requires a series of parameters to to determine subgroup proportion and subgroup censoring rate. Depending on study type (prospective or retrospective study), parameter setting is different (reference: Strategies for power calculations in predictive biomarker studies in survival data; Chen et al; Oncotarget; 2016; in press).
- The shiny applictaion for power calculation of predictive biomarker generates a statistical plan to justify the sample size
Simply run the following from an R console:
if (!require("devtools"))
install.packages("devtools")
devtools::install_github("dungtsa/PowerPredictiveBiomarker",force = TRUE)require("PowerPredictiveBiomarker")
PowerPredictiveBiomarker.shiny()Snapshot of shiny app: initial
Snapshot of shiny app: output
Snapshot of shiny app: output in Word format (through "download" button)
