bsdRand: Sampling algorithm for BSD
In randomizeR: Randomization for Clinical Trials
bsdRand R Documentation
Sampling algorithm for BSD
Description
Sampling algorithm for BSD
Usage
bsdRand(N, mti, K = 2)
Arguments
N
integer for the total sample size of the trial.
mti
maximum tolerated imbalance in patient numbers during the trial.
K
number of treatment groups (e.g. K=2 if we compare one experimental
against one control treatment).
Value
A vector with the allocation sequence for a clinical trial.
It will contain a zero (resp. 1) at position i, when patient i
is allocated to treatment A (resp. B).
References
J. F. Soares and C. F. Jeff Wu (1983) Some Restricted Randomization Rules in
Sequential Designs. Comm. in Stat., 12, 2017-34.
randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.
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| bsdRand | R Documentation |
Sampling algorithm for BSD
Description
Sampling algorithm for BSD
Usage
bsdRand(N, mti, K = 2)
Arguments
N |
integer for the total sample size of the trial. |
mti |
maximum tolerated imbalance in patient numbers during the trial. |
K |
number of treatment groups (e.g. K=2 if we compare one experimental against one control treatment). |
Value
A vector with the allocation sequence for a clinical trial.
It will contain a zero (resp. 1) at position i, when patient i
is allocated to treatment A (resp. B).
References
J. F. Soares and C. F. Jeff Wu (1983) Some Restricted Randomization Rules in Sequential Designs. Comm. in Stat., 12, 2017-34.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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