des_gehan: Design a two-stage Gehan single-arm trial for a single binary...
In mjg211/singlearm: Design and analysis of single-arm clinical trials

Determines two-stage Gehan single-arm clinical trial designs for a single binary primary endpoint.

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des_gehan(pi1 = 0.3, beta1 = 0.1, gamma = 0.05,
  alpha_pi_hat = 0.25, method = "A", f = "G", alpha = 0.05,
  pi0 = 0.1, find_D = F, summary = F)

`pi1`	The (desirable) response probability used in computing the first stage sample size.
`beta1`	The desired maximal type-II error-rate for stage one.
`gamma`	The desired standard error for the estimate of the response probability by the end of stage two.
`alpha_pi_hat`	The confidence level to use in the formula for computing the interim estimated of the response rate.
`method`	Should be either "A" or "B", signifying the method used for computing the interim response rate.
`f`	Should be either "G", "L", or "EL", signifying the function used for determining the second stage sample sizes.
`alpha`	The confidence level to use in the formula for computing the second stage sample sizes.
`pi0`	The null response rate. Only used when `find_D = T`.
`find_D`	A logical variable indicating whether an optimal discrete conditional error function should be found.
`summary`	A logical variable indicating a summary of the function's progress should be printed to the console.

des_gehan() supports the determination of two-stage Gehan single-arm clinical trial designs for a single binary primary endpoint.

A list of class "sa_des_gehan" containing the following elements

A list in the slot $des containing details of the identified optimal design.
A tibble in the slot $feasible, consisting of the identified designs which met the required operating characteristics.
Each of the input variables as specified.