randomizeR (version 1.4.2)

setPower: Representing the power

Description

Represents the expected power of the individual randomization sequences.

Usage

setPower(d, method, alpha = 0.05)

Arguments

d

effect size.

method

character string, should be one of "sim" or "exact", see Description.

alpha

significance level.

Value

S4 object of class power, a formal representation of the issue of power in a clinical trial.

Details

The attained power of an individual randomization sequence can be an issue in the design of a clinical trial. The power of a randomization sequence is is computed dependent on the effect size d and the difference in group sizes in the end if.

If method="sim", the object represents the simulated power of an individual randomization sequence. When calling assess for a power object with method="sim", one test decision is computed for each randomization sequence of randSeq. The power is the proportion of falsely (correctly) rejected null hypotheses.

If method="exact", the object represents the exact power of an individual randomization sequence. When calling assess for a power object with method="exact", the exact p-value of each randomization sequence is computed. So far, this is only supported for normal endpoints. Then the power is the sum of the corresponding quantiles of the noncentral t-distribution.

See Also

Other issues: chronBias, combineBias, corGuess, imbal, issue, selBias