Hi,
I am performing MA of proportions and my metaprop outputs (for heterogeneity & summary estimate& weighting) are different in the print(metaprop) results and the forest(metaprop) results despite using the same code. Does anyone know why? both codes below.
With this code, the forestplot also will not print the I2 and tau etc but if I just do: forest(meta_Bylog) is does print I2, tau, heterogeneity - any ideas why?
Thanks very much
meta_Bylog <- metaprop(
n,
N,
studlab = paste(Study),
data = By1log_data,
method= "Inverse", #or could be "GLMM"#
sm = "PLOGIT", #or "PLO" or "PRAW" or "PFT" (for double arcsine transformation-will not need 0.5 increment)#
incr = 0.5,
allincr = FALSE,
method.ci = "AC",
level = 0.95,
level.comb = 0.95,
comb.fixed = FALSE,
comb.random = TRUE,
overall = TRUE,
w.random = TRUE,
method.tau = "REML"
method.tau.ci = "QP",
overall.hetstat = TRUE,
method.bias = "linreg",
backtransf = TRUE,
pscale = 100,
title = "Reproducibility",
complab = "Compare",
outclab = "Compare2",
keepdata = gs("keepdata"),
warn = gs("warn"),
)
print(By1log_meta)
versus the forest:
forest.meta(
meta_Bylog,
sortvar = Year,
studlab = TRUE,
comb.random = TRUE,
overall = TRUE,
text.random = "Overall Proportion",
col.random = "blue",lwd = 1.5,
study.results = TRUE,
xlab = "Percentage of Patients",
smlab= "Reproducibility\n ",
xlim =c(10,100),
align = "left",
leftcols = c("Study", "Year", "event", "n"),
leftlabs = c("Study", "Year", "n", "N"),
rightlabs = c("% reproducibility", "95% CI", "Weight"),
just = "center",
print.tau2.ci = TRUE,
print.I2 = TRUE,
print.I2.ci = TRUE,
print.tau2 = TRUE,
print.pval.Q = TRUE,
col.square = "grey",
col.square.lines = "grey",
col.diamond = "maroon",
col.diamond.lines = "black",
colgap = unit(6, "mm"),
digits = 1,
digits.se = 1,
digits.weight = 1,
digits.tau2 = 4,
digits.pval = 4,
digits.mean = 1,
)