Data set containing historical information for placebo arms of relevant trials for the treatment of asthma. The primary outcome is the rate of asthma exacerbations, a recurrent event modelled with a negative binomial distribution. The full data set as published in Holzhauer, Wang & Schmidli (2018) summarizes ten historical placebo arms by their back-calculated log mean event rate and dispersion together with the associated standard errors on the log scale.
Format
A data frame with 10 rows and 11 variables:
- study
study label
- NCT
ClinicalTrials.gov / ISRCTN registry identifier(s)
- d
follow-up (exposure) duration in years
- n
study size
- mu_hat
estimated mean event rate
- log_mu_hat
log mean event rate
- se_log_mu_hat
standard error of the log mean event rate
- kappa_hat
estimated dispersion parameter
- log_kappa_hat
log dispersion parameter
- se_log_kappa_hat
standard error of the log dispersion parameter
- phase
development phase of the trial
References
Holzhauer B, Wang C, Schmidli H (2018). “Historical control information for clinical trials with a recurrent event endpoint.” Statistics in Medicine, 37(10), 1640–1657.
Examples
.user_mc_options <- options()
set.seed(34563)
asthma_ph3 <- subset(asthma, phase == "phase III")
map_asthma <- gMAP(cbind(log_mu_hat, se_log_mu_hat) ~ 1 + offset(log(d)) | study,
family = gaussian,
data = asthma_ph3,
tau.dist = "HalfNormal", tau.prior = 0.5,
beta.prior = cbind(0, 2)
)
## Recover user set sampling defaults
options(.user_mc_options)