i2dacc: Calculate I-squared for diagnostic accuracy parameters

In RichardBirnie/mautils: Utilities to facilitate an automated workflow for meta-analysis

Description

Calculate I-squared for diagnostic accuracy parameters

Usage

i2dacc(df)

Arguments

df	A data frame of 2x2 diagnostic accuracy data. The following columns must be present 'StudyID, 'TP', 'TN', 'FP', 'FN' corresponding to the number of True Positives, True Negatives, False Postives and False Negatives respectively.

Details

This function will calculate the I-squared heterogeneity statistic with 95 parameters: Sensitivity, Specificity, Diagnostic Odds Ratio and both positive and negative likelihood ratios.

The I-squared values are calculated using functions from the meta package but no pooling of the study estimates are performed. These functions are used only for convenience to provide the I-squared values. Sensitivity and specificity use metaprop for proportions. DOR, Positive LR and negative LR use metagen for generic inverse variance.

Value

A data frame of I-squared values with confidence intervals for each of the parameters.

See Also

metaprop, metagen

RichardBirnie/mautils documentation built on July 12, 2019, 8:56 p.m.