get.ts.bin.trt.oc.df: Get two-sample binary treatment OC data.frame

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

Get two-sample binary treatment OC data.frame

Description

Get two-sample binary treatment OC data.frame

Usage

get.ts.bin.trt.oc.df(
  a.con = 1,
  b.con = 1,
  dcurve.con = 0.12,
  a.trt = 1,
  b.trt = 1,
  TE.OC.N = 80,
  Aratio = 2,
  TE.OC.Delta.LB = 0,
  TE.OC.Delta.UB = 1 - 0.12,
  Delta.tv = 0.35,
  Delta.lrv = 0.2,
  tau.tv = 0.01,
  tau.lrv = 0.8,
  tau.ng = 0.65
)

Arguments

a.con	prior alpha parameter for control group
b.con	prior beta parameter for control group
dcurve.con	Response rate for control group
a.trt	prior alpha parameter for treatment group
b.trt	prior beta parameter for treatment group
TE.OC.N	total sample size for OC
Aratio	Randomization ratio
TE.OC.Delta.LB	Lower bound for OC curve
TE.OC.Delta.UB	Upper bound for OC curve
Delta.tv	TPP Target Value aka Base TPP
Delta.lrv	TPP Lower Reference Value aka Min TPP
tau.tv	threshold associated with Base TPP
tau.lrv	threshold associated with Min TPP
tau.ng	threshold associated with No-Go

Value

A data.frame is returned that allows for creation of treatment effect operating characteristics curve

References

Sverdlov O, Ryeznik Y, Wu S. Exact Bayesian Inference Comparing Binomial Proportions, With Application to Proof-of-Concept Clinical Trials. Therapeutic Innovation & Regulatory Science. 2015;49(1):163-174. doi:10.1177/2168479014547420

Examples

my.ts.bin.trt.oc.df <- get.ts.bin.trt.oc.df()
head(my.ts.bin.trt.oc.df)

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