chenRand: Representing Chen's Design
In randomizeR: Randomization for Clinical Trials
chenRand R Documentation
Representing Chen's Design
Description
Representing Chen's Design
Usage
chenRand(N, mti, p, K = 2)
Arguments
N
integer for the total sample size of the trial.
mti
maximum tolerated imbalance in patient numbers during the trial.
p
success probability of the biased coin (e.g. in Efron's Biased Coin
Design).
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
Chen Yung-Pin (1999) Biased coin design with imbalance tolerance.
Comm. in Stat., 15, 953-975.
randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.
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| chenRand | R Documentation |
Representing Chen's Design
Description
Representing Chen's Design
Usage
chenRand(N, mti, p, K = 2)
Arguments
N |
integer for the total sample size of the trial. |
mti |
maximum tolerated imbalance in patient numbers during the trial. |
p |
success probability of the biased coin (e.g. in Efron's Biased Coin Design). |
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
Chen Yung-Pin (1999) Biased coin design with imbalance tolerance. Comm. in Stat., 15, 953-975.
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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