metaumbrella (version 1.1.0)

overlap.prim: Overlap in primary studies across reviews

Description

This function allows to estimate the primary study overlap across reviews

Usage

overlap.prim(
  x,
  ID = "factor",
  presentation = "%",
  cut_off = c(0.05, 0.1, 0.15),
  enhanced = TRUE
)

Value

This function returns a dataframe with 1 row/column per factor or meta-review. As in a correlation matrix, the cell at the intersection of a row and a column contains the desired information (i.e. the overlap between primary studies for the column and row names).

Arguments

x

an 'umbrella' object

ID

a character variable indicating whether the overlap should be looked across 'factor' or across 'meta_review'.

presentation

the type of presentation for the overlap. Can be precise percentages ('%') or symbols ('+').

cut_off

a vector of 3 cut-off values used only if the 'presentation' argument is set as '+'.

enhanced

a logical variable indicating whether you want a narrative description of the information stored in the rows/columns returned by this function.

References

Pérez-Bracchiglione, J., Meza, N., Bangdiwala, S. I., Niño de Guzmán, E., Urrútia, G., Bonfill, X., & Madrid, E. (2022). Graphical Representation of Overlap for OVErviews: GROOVE tool. Research synthesis methods, 13(3), 381–388. https://doi.org/10.1002/jrsm.1557

Examples

df.SMD$author[22:32] <- df.SMD$author[1:11]
df.SMD$year[22:32] <- df.SMD$year[1:11]
overlap.prim(umbrella(df.SMD),
             presentation = "+", cut_off = c(.05,.15,.25))