get.tte.int.oc.df: Make time to event predictive probability OC curve

In GNGTools: Tools for Go/No-Go Decision-Making Framework

Make time to event predictive probability OC curve

Description

Make time to event predictive probability OC curve

Usage

get.tte.int.oc.df(
  m.con.prior = 50,
  m.trt.prior = 50,
  HR.prior = 0.845,
  ARatio = 1,
  HR.lower = 0.0025,
  HR.upper = 2,
  npoints = 20,
  interim.m = c(428, 750, 1000),
  final.m = 1500,
  HR.tv = 0.75,
  HR.lrv = 0.9,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  n.MC = 2000,
  go.thresh = 0.8,
  ng.thresh = 0.8,
  include_nogo = TRUE
)

Arguments

m.con.prior	prior number of events for control group
m.trt.prior	prior number of events for treamtnet group
HR.prior	hazard ratio estimate
ARatio	Randomization ratio
HR.lower	lower bound for HR
HR.upper	upper bound for HR
npoints	number of points for OC Curve
interim.m	interim number of events
final.m	final number of events
HR.tv	Base TPP for HR
HR.lrv	Min TPP for HR
tau.tv	threshold associated with Base TPP
tau.lrv	threshold associated with Min TPP
tau.ng	threshold associated with No-Go
n.MC	Monte Carlo sample size
go.thresh	predictive probability go threshold
ng.thresh	predictive probability no-go threshold
include_nogo	logical

Value

A data.frame is returned.

Examples

my.tte.int.oc.df <- get.tte.int.oc.df()
my.tte.int.oc.df

GNGTools documentation built on Dec. 16, 2022, 5:09 p.m.