binary_sim_df {beastt} | R Documentation |
Binary Simulation Data
Description
This is an example of output from a simulation study that investigates the
operating characteristics of inverse probability weighted Bayesian dynamic
borrowing for the case with a binary outcome. This output was generated
based on the binary simulation template. For this simulation study, only the
degree of covariate imbalance (as indicated by population
) and the
marginal treatment effect were varied.
Usage
binary_sim_df
Format
binary_sim_df
A data frame with 255 rows and 6 columns:
- population
Populations defined by different covariate imbalances
- marg_trt_eff
Marginal treatment effect
- true_control_RR
True control response rate on the marginal scale
- reject_H0_yes
Probability of rejecting the null hypothesis in the case with borrowing
- no_borrowing_reject_H0_yes
Probability of rejecting the null hypothesis without borrowing
- pwr_prior
Vector of power priors (or some other informative prior distribution for the control marginal parameter of interest based on the external data) as distributional objects