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Data set containing historical information for placebo for a phase II trial of ankylosing spondylitis patients. The primary efficacy endpoint was the percentage of patients with a 20 according to the Assessment of SpondyloArthritis international Society criteria for improvement (ASAS20) at week 6.

Usage

AS

Format

A data frame with 8 rows and 3 variables:

study

study

n

study size

r

number of events

References

Baeten D. et. al, The Lancet, 2013, (382), 9906, p 1705

Examples

## Setting up dummy sampling for fast execution of example
## Please use 4 chains and 20x more warmup & iter in practice
.user_mc_options <- options(RBesT.MC.warmup=50, RBesT.MC.iter=100,
                            RBesT.MC.chains=2, RBesT.MC.thin=1)

set.seed(34563)
map_AS <- gMAP(cbind(r, n-r) ~ 1 | study,
               family=binomial,
               data=AS,
               tau.dist="HalfNormal", tau.prior=1,
               beta.prior=2)
#> Assuming default prior location   for beta: 0
#> Warning: The largest R-hat is 1.11, indicating chains have not mixed.
#> Running the chains for more iterations may help. See
#> https://mc-stan.org/misc/warnings.html#r-hat
#> Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
#> Running the chains for more iterations may help. See
#> https://mc-stan.org/misc/warnings.html#bulk-ess
#> Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
#> Running the chains for more iterations may help. See
#> https://mc-stan.org/misc/warnings.html#tail-ess
#> Warning: Maximal Rhat > 1.1. Consider increasing RBesT.MC.warmup MCMC parameter.
#> Final MCMC sample equivalent to less than 1000 independent draws.
#> Please consider increasing the MCMC simulation size.
## Recover user set sampling defaults
options(.user_mc_options)