Implementation of the LFK index test proposed by Furuya-Kanamori et al. (2018) to evaluate bias in meta-analysis.
lfkindex(TE, seTE, data =NULL)## S3 method for class 'lfkindex'print(x, digits =2,...)
Arguments
TE: An object of class meta or estimated treatment effect in individual studies.
seTE: Standard error of estimated treatment effect (mandatory if TE not of class meta).
data: An optional data frame containing the study information.
x: An object of class lfkindex.
digits: Minimal number of significant digits, see print.default.
...: Additional arguments (ignored).
Returns
An object of class "lfkindex" with corresponding print function. The object is a list containing the following components:
lfkindex: LFK index.
interpretation: Interpretation of value of LFK index.
abs.zscore: Absolute value of z-score.
N, MidRank, percentile, zscore: Quantities used to calculate LFK index.
TE, seTE: Estimated treatment effect, standard error.
version: Version of R package metasens used to create object.
Examples
# Example from Furuya-Kanamori et al. (2018)#pain <- data.frame(SMD = c(-4.270,-1.710,-0.580,-0.190,0.000), varSMD = c(0.158,0.076,0.018,0.022,0.040))lfk.pain <- lfkindex(SMD, sqrt(varSMD), data = pain)lfk.pain
doiplot(lfk.pain)
References
Furuya-Kanamori L, Barendregt JJ, Doi SAR (2018): A new improved graphical and quantitative method for detecting bias in meta-analysis. International Journal of Evidence-Based Healthcare, 16 , 195--203