| tPI {PINMA} | R Documentation |
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 |
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)