calculate_MDE_WinRatio: Calculate minimal detectable effect for binary variable using...
In th-zelniker/TIMI:
View source: R/calculate_MDE_WinRatio.R
calculate_MDE_WinRatio R Documentation
Calculate minimal detectable effect for binary variable using the WinRatio
Description
Calculate the minimal detectable effect (Win Ratio) given the total sample size (Yu and Ganju, Statistics in Medicine 2021)
Usage
calculate_MDE_WinRatio(sample_size, P_tie, alpha = 0.05, v = 0.5)
Arguments
sample_size
Total Sample Size
P_tie
Proportion of ties
alpha
1-sided alpha (Type I error)
v
Proportion of treatment allocation (default is 1:1)
Value
Minimal detectable effect
th-zelniker/TIMI documentation built on Oct. 1, 2022, 2 p.m.
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View source: R/calculate_MDE_WinRatio.R
| calculate_MDE_WinRatio | R Documentation |
Calculate minimal detectable effect for binary variable using the WinRatio
Description
Calculate the minimal detectable effect (Win Ratio) given the total sample size (Yu and Ganju, Statistics in Medicine 2021)
Usage
calculate_MDE_WinRatio(sample_size, P_tie, alpha = 0.05, v = 0.5)
Arguments
sample_size |
Total Sample Size |
P_tie |
Proportion of ties |
alpha |
1-sided alpha (Type I error) |
v |
Proportion of treatment allocation (default is 1:1) |
Value
Minimal detectable effect
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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