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A dataset of 12 trials investigating 6 treatments and placebo for rheumatoid arthritis. The main outcome is the number of patients who improved by at least 50% on the American College of Rheumatology scale (ACR50) at 6 Months. A covariate is present for the mean disease duration at baseline (years).

A network meta-regression dataset containing 24 rows of arm-based data (responders and sample size).

S. Dias, A.J. Sutton, N.J. Welton, and A.E. Ades (2013b),
*Heterogeneity - Subgroups, Meta-Regression, Bias, and Bias-Adjustment*,
Medical Decision Making 33(5):618-640.

[doi: 10.1177/0272989X13485157]

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
# Run RE regression model with informative heterogeneity prior
regressor <- list(coefficient='shared',
variable='diseaseDuration',
control='Placebo')
# sd ~ half-Normal(mean=0, sd=0.32)
hy.prior <- mtc.hy.prior(type="std.dev", distr="dhnorm", 0, 9.77)
model <- mtc.model(certolizumab,
type="regression",
regressor=regressor,
hy.prior=hy.prior)
## Not run:
result <- mtc.run(model)
## End(Not run)
``` |

```
Loading required package: coda
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 24
Unobserved stochastic nodes: 32
Total graph size: 615
Initializing model
```

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