Simon_oc {VisualizeSimon2Stage}

Simon_oc: Operating Characteristics of Simon's Two-Stage Design

Description

Operating characteristics of Simon's two-stage design.

Usage

Simon_oc(
  prob,
  simon,
  type = c("minimax", "optimal", "n1", "maximax"),
  R = 10000L,
  n1 = stop("must provide `n1`"),
  n = stop("must provide `n`"),
  r1 = stop("must provide `r1`"),
  r = stop("must provide `r`"),
  ...
)

Arguments

prob

named double vector, true response rate(s) p of (multiple) drug(s). The names(prob) should be the respective keyword(s) for the drug(s).

simon

ph2simon object

type

character scalar, type of Simon's two-stage design. Currently supports 'minimax' (default) for minimum total sample size, 'optimal' for minimum expected total sample size under p_0, 'n1' for minimum Stage-1 sample size n_1, 'maximax' to use up the user-provided maximum total sample size (parameter nmax of function ph2simon)

R

integer scalar, number of simulations. Default 1e4L.

n1, n

(optional) integer scalars, Stage-1 sample size n_1 and total sample size n. Overridden if simon is given

r1, r

(optional) integer scalars, number of response in Stage-1 r_1 and overall r required exclusively, i.e., passing Stage-1 means observing >r_1 response. Overridden if simon is given

...

potential parameters, currently not in use

Details

..

Value

Function Simon_oc returns Simon_oc object

Slots

maxResp

integer vector of same length as p, the frequencies of each regime having maximum response. The summation of maxResp is the number of simulation copies.

Simon_maxResp

integer vector of same length as p, the frequencies of each regime having maximum response and success in Simon's two-stage trial.

Examples

library(clinfun)
(x = ph2simon(pu = .2, pa = .4, ep1 = .05, ep2 = .1)) 
Simon_oc(prob = c(A = .3, B = .2, C = .15), simon = x, type = 'minimax', R = 1e3L)
Simon_oc(prob = c(A = .3, B = .2, C = .15), simon = x, type = 'optimal', R = 1e3L)