srr: Steroid-resistant rejection data

In pa4bayesmeta: Prior Accuracy for Bayesian Meta-Analysis

Description

Meta-analysis data set including 3 controlled studies comparing steroid-resistant rejections under Interleukin-2 receptor antibodies (IL-2RA, Basiliximab or Daclizumab) treatment versus other immunosuppressant drugs after liver transplantation in children. The effect estimates of interest are (log) odds ratios.

Usage

data(srr)

Format

A data frame with 3 observations on the following 7 variables:

study

character string, label of the study

n_events_t

integer, number of steroid-resistant rejections in the group treated with Interleukin-2 receptor antibodies

n_t

integer, number of children treated with Interleukin-2 receptor antibodies

n_events_c

integer, number of steroid-resistant rejections in the group treated with other immunosuppressant drugs

n_c

integer, number of children treated with other immunosuppressant drugs (control group)

y

numeric, log odds ratio estimate for the study

sigma

numeric, standard error of the log odds ratio estimate for the study

Details

This data set was originally analyzed by Crins et al. (2014) and reanalyzed by Friede et al. (2017).

Source

Friede, T., Roever, C., Wandel, S., Neuenschwander, B. (2017). Meta-analysis of few small studies in orphan diseases. Research Synthesis Methods 8(1), 79–91. https://doi.org/10.1002/jrsm.1217

References

Crins N. D., Roever C., Goralczyk A. D., Friede T. (2014). Interleukin-2 receptor antagonists for pediatric liver transplant recipients: a systematic review and meta-analysis of controlled studies. Pediatric Transplantation 18: 839–850. https://onlinelibrary.wiley.com/doi/abs/10.1111/petr.12362

Examples

data(srr)
str(srr)
# forest plot
forest(x = srr$y, sei = srr$sigma, xlab = "log odds ratio")

pa4bayesmeta documentation built on Aug. 1, 2021, 3 p.m.