| analysis {bayesCT} | R Documentation |
Analysis wrapper function
Description
Wrapper function to analyze bayesian trials.
Usage
analysis(input, type = "binomial", .data = NULL)
Arguments
input |
list. Input function for all the analysis. |
type |
character. Type of analysis to be ran (binomial (default), normal. etc.). |
.data |
NULL. stores the all the details, please do not fill it in. |
Value
a list with results of the analysis of bayesian trial.
prob_of_accepting_alternative-
scalar. The input parameter of probability of accepting the alternative.
margin-
scalar. The margin input value of difference between mean estimate of treatment and mean estimate of the control.
alternative-
character. The input parameter of alternative hypothesis.
N_treatment-
scalar. The number of patients enrolled in the experimental group for each simulation.
N_control-
scalar. The number of patients enrolled in the control group for each simulation.
N_enrolled-
vector. The number of patients enrolled in the trial (sum of control and experimental group for each simulation. )
N_complete-
scalar. The number of patients who completed the trial and had no loss to follow-up.
post_prob_accept_alternative-
vector. The final probability of accepting the alternative hypothesis after the analysis is done.
est_final-
scalar. The final estimate of the difference in posterior estimate of treatment and posterior estimate of the control group.
stop_futility-
scalar. Did the trial stop for futility during imputation of patient who had loss to follow up? 1 for yes and 0 for no.
stop_expected_success-
scalar. Did the trial stop for early success during imputation of patient who had loss to follow up? 1 for yes and 0 for no.