rr: Restricted randomization

In yevgenryeznik/artool: Adaptive Randomization Routine for Clinical Trials

Description

Simulates a clinical trial one time with retricted randomizaion procedure

Usage

rr(nsbj, w, proc, proc_param, distr, distr_param)

Arguments

nsbj	number of subjects to randomize.
w	vector of fixed allocation ratio (integers with GCD = 1).
proc	name of randomization procedure c("CRD", "PBD", "BUD", "MWUD", "DBCD", "DL", "MinQD", "MaxEnt").
proc_param	tuning parameter of randomization procedure (NA for "CRD").
distr	distribution of response c("binary", "uniform", "normal", "exponential", "weibull", "loglogistic", "lognormal"). See response for details.
distr_param	parameter(s) of the response distribution (a list with numeric vector(s) with the same length as w). See response.

Value

a list with three items:

• treatement – a vector of treatment assignments,

• response – a vector of responses,

• Imb – a vector of imbalances at each step,

• FI – a vector of forcing indecies at each step,

• MPM1 – a vector of momentums of probability mass based on expected predicted imbalance,

• CMPM1 – cumulative MPM1

• MPM2 – a vector of momentums of probability mass based on the expected imbalance,

• CMPM2 – cumulative MPM2

• probability – a matrix with allocation probabilities at each step,

• allocation – a matrix of allocation proportions at each step.

Author(s)

Yevgen Ryeznik ([e-mail]), Oleksandr Sverdlov

Examples

   rr(200, c(4, 3, 2, 1), "DL", 2, "normal", list(mean = rep(0, 4), sd = rep(1, 4)))
   rr(200, c(31, 13), "MaxEnt", 0.5, "normal", list(mean = c(0, 0.2), sd = c(1, 1))) 
      

yevgenryeznik/artool documentation built on May 15, 2019, 5:35 p.m.