| setPower {randomizeR} | R Documentation |
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 |
alpha |
significance level. |
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
computed depending on the effect size d and the difference in
group sizes.
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.
Value
S4 object of class power, a formal representation of the
issue of power in a clinical trial.
See Also
Other issues:
chronBias,
combineBias(),
corGuess,
imbal,
issue,
selBias