| lfkindex | R Documentation | 
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, ...)
| TE | An object of class  | 
| seTE | Standard error of estimated treatment effect (mandatory
if  | 
| data | An optional data frame containing the study information. | 
| x | An object of class  | 
| digits | Minimal number of significant digits, see
 | 
| ... | Additional arguments (ignored). | 
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. | 
Gerta Rücker gerta.ruecker@uniklinik-freiburg.de, Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
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
Schwarzer G, Rücker G, Semaca C (2024): LFK index does not reliably detect small-study effects in meta-analysis: a simulation study. Research Synthesis Methods, Accepted for publication
doiplot, metabias,
funnel.meta
# 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)
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