metainc (version 0.2-1)

subset.inc: Decision Inconsistency index and Across-Studies Inconsistency index in subsets of studies

Description

Computation of the Decision Inconsistency index and the Across-Studies Inconsistency index for specific subsets of studies (allowing for subgroup analysis).

Usage

# S3 method for inc
subset(x, data, subset, ...)

Value

An object of class inc.

Arguments

x

An object created with inc.

data

A data frame with the same number of primary studies as those included in the meta-analysis and containing the variables based on which subset analysis is to be performed.

subset

A logical vector to select studies for subset analysis.

...

Additional arguments (ignored).

Author

Bernardo Sousa-Pinto , Guido Schwarzer

Details

Computes the Decision Inconsistency index and the Across-Studies Inconsistency index for a subset (subgroup) of studies.

Examples

data(anticoagulation)
inc_anticoagulation <-
  inc(anticoagulation, dt1 = 16, dt2 = 31, dt3 = 60,
    br = 0.5, sm = "OR", transf = FALSE)
inc_anticoagulation

# Example with subset analysis restricted to studies with a low risk of bias:
data(anticoagulation_df)
subset1_anticoagulation <-
  subset(inc_anticoagulation, anticoagulation_df, RoB == "Low")
subset1_anticoagulation
 
# Example with subset analysis excluding studies with a high risk of bias
# (resulting in the same subset of studies as no study has "Moderate" RoB):
subset2_anticoagulation <-
  subset(inc_anticoagulation, anticoagulation_df, RoB != "High")
subset2_anticoagulation