analysis {bayesCT} | R Documentation |
Wrapper function to analyze bayesian trials.
analysis(input, type = "binomial", .data = NULL)
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. |
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.