ISCV.Equality: Test for Equality of Intra-Subject CVs
In TrialSize: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research
Description
Usage
Arguments
References
View source: R/ISCV.Equality.R
Description
H0: CVr = CVt
Ha: not equal
The test is finding whether two drug products have the same intra-subject CVs
Usage
1
ISCV.Equality(alpha, beta, CVt, CVr, m)
Arguments
alpha
significance level
beta
power = 1-beta
CVt
Coefficient Of Variation for treatment T
CVr
Coefficient Of Variation for treatment R
m
for each subject, there are m replicates.
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
TrialSize documentation built on July 8, 2020, 7:19 p.m.
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Description Usage Arguments References
View source: R/ISCV.Equality.R
Description
H0: CVr = CVt
Ha: not equal
The test is finding whether two drug products have the same intra-subject CVs
Usage
1 | ISCV.Equality(alpha, beta, CVt, CVr, m)
|
Arguments
alpha |
significance level |
beta |
power = 1-beta |
CVt |
Coefficient Of Variation for treatment T |
CVr |
Coefficient Of Variation for treatment R |
m |
for each subject, there are m replicates. |
References
Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003
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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