# Comparison of randomization procedures Compares randomization procedures based on a specified issue in clinical trials. ```r compare(issue, ..., endp) ## S4 method for signature 'issue,missing' compare(issue, ..., endp) ## S4 method for signature 'issue,endpoint' compare(issue, ..., endp) ``` ## Arguments - `issue`: object of class `issue`. - `...`: at least one object of class `randSeq` or a list of objects of class `randSeq`. - `endp`: object of class `endpoint`, or `missing`. ## Returns `S4` object of class `comparison` summarizing the comparison of the randomization procedures. ## Details Randomization procedures behave differently with respect to issues like selection bias, chronological bias, or loss in power estimation. The `compare` function evaluates the behavior of randomization procedures with respect to one issue. Its first argument should represent one of the implemented `issues`. The second argument should be any number of objects of the class `randSeq`. These objects represent the randomization procedures for the planned comparison. The last argument `endp` may be provided if the assessment should take the distribution of the treatment groups into account, e.g. for power evaluation. ## Examples ```r # compare Random Allocation Rule and Big Stick for N = 4 with respect to # correct guesses RAR <- getAllSeq(rarPar(4)) BSD <- getAllSeq(bsdPar(4, mti = 2)) corGuess <- corGuess("CS") (comp <- compare(corGuess, RAR, BSD)) plot(comp) # compare the same procedures with respect to selection bias for a normal endpoint endp <- normEndp(c(2, 2), c(1, 1)) selBias <- selBias("CS", 4, "exact") (comp <- compare(selBias, RAR, BSD, endp = endp)) plot(comp) # compare the same procedures with respect to selection bias for an exponential endpoint endp <- expEndp(lambda = c(0.5, 0.5), cenRate=0.1, accrualTime=1, cenTime=5) selBias <- selBias("CS", 0.1, "exact") (comp <- compare(selBias, RAR, BSD, endp = endp)) plot(comp) ``` ## See Also Representation of randomization procedures: `randPar` Generation of randomization sequences: `genSeq` `issues` for the assessment of randomization sequences

compare function