calculate_MDE: Calculate minimal detectable effect for binary variable
In th-zelniker/TIMI:
View source: R/calculate_MDE.R
calculate_MDE R Documentation
Calculate minimal detectable effect for binary variable
Description
Calculate the minimal detectable effect (Hazard Ratio) given an observed number of events for a binary variable (based on Schoenfeld's formula)
Usage
calculate_MDE(number_of_events, alpha = 0.05, v = 0.5)
Arguments
number_of_events
Number of events
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.R
| calculate_MDE | R Documentation |
Calculate minimal detectable effect for binary variable
Description
Calculate the minimal detectable effect (Hazard Ratio) given an observed number of events for a binary variable (based on Schoenfeld's formula)
Usage
calculate_MDE(number_of_events, alpha = 0.05, v = 0.5)
Arguments
number_of_events |
Number of events |
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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