Leave-One-Out Diagnostics for 'rma' Objects
The functions repeatedly fit the specified model, leaving out one observation/study at a time.
leave1out(x, ...) ## S3 method for class 'rma.uni' leave1out(x, digits, transf, targs, progbar=FALSE, ...) ## S3 method for class 'rma.mh' leave1out(x, digits, transf, targs, progbar=FALSE, ...) ## S3 method for class 'rma.peto' leave1out(x, digits, transf, targs, progbar=FALSE, ...)
x |
an object of class |
digits |
integer specifying the number of decimal places to which the printed results should be rounded (if unspecified, the default is to take the value from the object). |
transf |
an optional argument specifying the name of a function that should be used to transform the model coefficients and interval bounds (e.g., |
targs |
optional arguments needed by the function specified under |
progbar |
logical indicating whether a progress bar should be shown (the default is |
... |
other arguments. |
The model specified via x must be a model without moderators (i.e., either a fixed- or a random-effects model and not a fixed-effects with moderators or mixed-effects model).
An object of class "list.rma". The object is a list containing the following components:
estimate |
estimated coefficients of the model. |
se |
standard errors of the coefficients. |
zval |
test statistics of the coefficients. |
pval |
p-values for the test statistics. |
ci.lb |
lower bounds of the confidence intervals for the coefficients. |
ci.ub |
upper bounds of the confidence intervals for the coefficients. |
Q |
test statistics for the tests of heterogeneity. |
Qp |
p-values for the tests of heterogeneity. |
tau2 |
estimated amounts of (residual) heterogeneity (only for random-effects models). |
I2 |
values of I² (only for random-effects models). |
H2 |
values of H² (only for random-effects models). |
The "list.rma" object is formatted and printed with print.list.rma.
When using the transf option, the transformation is applied to the estimated coefficients and the corresponding interval bounds. The standard errors are then set equal to NA and are omitted from the printed output.
Wolfgang Viechtbauer wvb@metafor-project.org http://www.metafor-project.org/
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://www.jstatsoft.org/v036/i03.
Viechtbauer, W., & Cheung, M. W.-L. (2010). Outlier and influence diagnostics for meta-analysis. Research Synthesis Methods, 1, 112–125.
### calculate log risk ratios and corresponding sampling variances dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg) ### random-effects model res <- rma(yi, vi, data=dat) ### leave-one-out analysis leave1out(res) leave1out(res, transf=exp) ### meta-analysis of the (log) risk ratios using the Mantel-Haenszel method res <- rma.mh(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg) ### leave-one-out analysis leave1out(res) leave1out(res, transf=exp) ### meta-analysis of the (log) odds ratios using Peto's method res <- rma.peto(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg) ### leave-one-out analysis leave1out(res) leave1out(res, transf=exp)
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