PBS {PINMA}

Parametric bootstrap procedure for constructing prediction intervals of network meta-analysis

Description

Parametric bootstrap procedure for constructing prediction intervals of network meta-analysis.

Usage

PBS(y, S, B=2000)

Arguments

y

Contrast-based summary data of the outcome measure

S

Covariance estimates of y

B

Number of bootstrap resampling (default: 2000).

Value

The parametric bootstrap prediction intervals for network meta-analysis.

• Estimates: Restricted maximum likelihood (REML) estimates, their SE, and 95% Wald-type confidence intervals.

• Between-studies_SD: Between-studies SD estimate.

• 95%PI: 95% prediction intervals by the parametric bootstrap.

References

Noma, H., Hamura, Y., Sugasawa, S. and Furukawa, T. A. (2022+). Improved methods to construct prediction intervals for network meta-analysis. Forthcoming.

Examples

data(dstr)
attach(dstr)

# Transforming the arm-level data to the contrast-based summaryies
edat <- data.edit(study,trt,d,n)

y <- edat$y
S <- edat$S

PBS(y,S,B=10)   # Results of the NMA analysis (log OR scale); B is recommended to be >= 1000.