calc_prob_reject_both_singlestage: Helper function to calculate the probability to reject both...
In OptimalGoldstandardDesigns: Design Parameter Optimization for Gold-Standard Non-Inferiority Trials
View source: R/design_helper_functions.R
calc_prob_reject_both_singlestage R Documentation
Helper function to calculate the probability to reject both hypotheses
given the mean of the normal test statistic vector c(Z_TP1, Z_TC1).
Description
Helper function to calculate the probability to reject both hypotheses
given the mean of the normal test statistic vector c(Z_TP1, Z_TC1).
Usage
calc_prob_reject_both_singlestage(mu_vec, D)
Arguments
mu_vec
vector of means of the test statistic c(Z_TP1, Z_TP2, Z_TC1, Z_TC1).
D
list containing all parameters of a the trial design.
OptimalGoldstandardDesigns documentation built on Sept. 11, 2023, 5:09 p.m.
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View source: R/design_helper_functions.R
| calc_prob_reject_both_singlestage | R Documentation |
Helper function to calculate the probability to reject both hypotheses given the mean of the normal test statistic vector c(Z_TP1, Z_TC1).
Description
Helper function to calculate the probability to reject both hypotheses given the mean of the normal test statistic vector c(Z_TP1, Z_TC1).
Usage
calc_prob_reject_both_singlestage(mu_vec, D)
Arguments
mu_vec |
vector of means of the test statistic c(Z_TP1, Z_TP2, Z_TC1, Z_TC1). |
D |
list containing all parameters of a the trial design. |
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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