Description Usage Format Source Examples
The dataset contains the results of 5 published trials comparing surgical and non-surgical treatments for medium-severity periodontal disease, one year after treatment. The 2 estimated outcomes are average improvements (surgical minus non-surgical, in mm) in probing depth (PD) and attachment level (AL).
1 |
A data frame with 5 observations on the following 7 variables:
pubyear
publication year of the trial.
npat
number of patients included in the trial.
PD
estimated improvement of surgical versus non-surgical treatments in probing depth (mm).
AL
estimated improvement of surgical versus non-surgical treatments in attachment level (mm).
var_PD
variance of the estimated outcome for PD
.
cov_PD_AL
covariance of the estimated outcomes for PD
and AL
.
var_AL
variance of the estimated outcome for AL
.
Row names specify the author of the paper reporting the results of each trial.
Berkey CS, et al. (1998). Meta-analysis of multiple outcomes by regression with random effects. Statistics in Medicine. 17:2537–2550.
Berkey CS., et al. (1995). Multiple-outcomes meta-analysis of treatments for periodontal disease. Journal of Dental Research. 74(4):1030–1039.
Sera F, Armstrong B, Blangiardo M, Gasparrini A (2019). An extended mixed-effects framework for meta-analysis.Statistics in Medicine. 2019;38(29):5429-5444. [Freely available here].
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ### REPRODUCE THE RESULTS IN BERKEY ET AL. (1998)
# INSPECT THE DATA
berkey98
# FIXED-EFFECTS
year <- berkey98$pubyear - 1983
mod1 <- mixmeta(cbind(PD,AL) ~ year, S=berkey98[5:7], data=berkey98,
method="fixed")
print(summary(mod1), digits=3)
# GLS MODEL (VARIANCE COMPONENTS)
mod2 <- mixmeta(cbind(PD,AL) ~ year, S=berkey98[5:7], data=berkey98,
method="vc", control=list(vc.adj=FALSE))
print(summary(mod2), digits=3)
round(mod2$Psi, 3)
# ML MODEL
mod3 <- mixmeta(cbind(PD,AL) ~ year, S=berkey98[5:7], data=berkey98, method="ml")
print(summary(mod3), digits=3)
round(mod3$Psi, 3)
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