Description Usage Arguments Value Examples
Function to fit fixed effects meta-classification trees to meta-analytic data. Note that The model is assuming fixed effects within and between subgroups. Note that meta-classifcation trees may result in spurious splits, and have lower performance comparing to meta-regression trees. See in the documentation of the metacart-package for more details.
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formula: |
A formula, with a response variable (usually the effect size) and the interested moderators but no interaction terms. |
vi: |
The column name of the sampling variance in the data set. |
data: |
A data frame of a meta-analytic data set, including the effect sizes, sampling variance, and the potential moderators. |
c: |
A non-negative scalar.The pruning parameter to prune the initial classification tree by "c-standard-error" rule. |
If no moderator effect is detected, the function will return a list containing the following objects:
no.: The total number of the studies
Q: The Q-statistics of the heterogeneity test
df: The degree of freedoms of the heterogeneity test
pval.Q: The p-value of the heterogeneity test
g: The overall effect size for all studies, based on Hedges'g
se: The standard error of the overall effect size
zval: The test statistic of the overall effect sie
pval: The p-value for the test statistic of the overall effect size
ci.lb: The lower bound of the confidence interval for the overall effect size
ci.ub: The upper bound of the confidence interval for the overall effect size
call: The matched call
If moderator effect(s) is(are) detected, the function will return a list including the following objects:
tree: An rpart object. The tree that represents the moderator effects and interaction effects between them.
labs: A data frame showing how the studies were split by the moderators into subgroups
no.: The number of the studies in each subgroup
Qb: The between-subgroups Q-statistic
df: The degree of freedoms of the between-subgroups Q test
pval.Qb: The p-value of the between-subgroups Q test
Qw: The within-subgroup Q-statistic in each subgroup
g: The subgroup overall effect sizes, based on Hedges'g
se: The standard errors of subgroup overall effect sizes
zval: The test statistics of the subgroup overall effect sizes
pval: The p-value for the test statistics of the subgroup overall effect sizes
ci.lb: The lower bounds of the confidence intervals
ci.ub: The upper bounds of the confidence intervals
call: The matched call
type: The type of the tree
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