tPI: The ordinary t-approximation for constructing prediction...

In PINMA: Improved Methods for Constructing Prediction Intervals for Network Meta-Analysis

The ordinary t-approximation for constructing prediction intervals of network meta-analysis

Description

The ordinary t-approximation for constructing prediction intervals of network meta-analysis.

Usage

tPI(y, S)

Arguments

y	Contrast-based summary data of the outcome measure
S	Covariance estimates of y

Value

The ordinary t-approximation prediction intervals for network meta-analysis.

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

• Between-studies_SD: Between-studies SD estimate.

• 95%PI: 95% prediction intervals by the ordinary t-approximation.

References

Cooper, H., Hedges, L. V., and Valentine, J. C. (2009). The Handbook of Research Synthesis and Meta-Analysis, 2nd edition. New York: Russell Sage Foundation.

Chaimani, A., and Salanti, G. (2015). Visualizing assumptions and results in network meta-analysis: the network graphs package. Stata Journal 15, 905-920.

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

tPI(y,S)   # Results of the NMA analysis (log OR scale)

PINMA documentation built on May 31, 2023, 8:33 p.m.