Inconsistency tables for frequentist models — freq

Produce inconsistency tables using netmeta::netsplit()

Usage

freq_inconsistency(configured_data, logger = NULL)

Arguments

configured_data: list. Input dataset created by setup_configure() or setup_exclude()
logger: Stores all notification messages to be displayed in the Log Window. Insert the logger reactive list here for running in shiny, otherwise leave the default NULL

Value

Dataframe of inconsistency data:

Comparison: Treatment comparison
No.Studies: Number of studies
NMA: NMA treatment effect estimate
Direct: Direct treatment effect estimate
Indirect: Indirect treatment effect estimate
Difference: Difference between treatment effects
Diff_95CI_lower: 2.5% limit of difference in treatment effects
Diff_95CI_upper: 97.5% limit of difference in treatment effects
pValue: p-value for test of "difference in treatment effects == 0"

Examples

configured_data_path <- system.file("extdata", "configured_data.Rds", package = "metainsight")
configured_data <- readRDS(configured_data_path)

freq_inconsistency(configured_data = configured_data)
#>                Comparison No.Studies    NMA Direct Indirect Difference
#> 1   the_Butcher:the_Great          2 12.200 12.200       NA         NA
#> 2  the_Butcher:the_Little          0  0.000     NA    0.000         NA
#> 3 the_Butcher:the_Younger          0  0.544     NA    0.544         NA
#> 4    the_Little:the_Great          1 12.200 12.200       NA         NA
#> 5   the_Younger:the_Great          2 11.656 11.656       NA         NA
#> 6  the_Little:the_Younger          0  0.544     NA    0.544         NA
#>   Diff_95CI_lower Diff_95CI_upper pValue
#> 1              NA              NA     NA
#> 2              NA              NA     NA
#> 3              NA              NA     NA
#> 4              NA              NA     NA
#> 5              NA              NA     NA
#> 6              NA              NA     NA