| Title: | Test the Homogeneity of Kappa Statistics |
|---|---|
| Description: | Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan, Yasemin Yavuz, Zeliha Aydin Kasap (2019) <doi:10.1080/03610918.2018.1538457> Jun-mo Nam (2003) <doi:10.1111/j.0006-341X.2003.00118.x> Jun-mo Nam (2005) <doi:10.1002/sim.2321>Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney,Debajyoti Sinha (1999) <doi:10.2307/3315487> Allan Donner, Michael Eliasziw, Neil Klar (1996) <doi:10.2307/2533154>. |
| Authors: | Muammer Albayrak |
| Maintainer: | Muammer Albayrak <[email protected]> |
| License: | GPL-3 |
| Version: | 0.3 |
| Built: | 2024-12-11 07:06:25 UTC |
| Source: | CRAN |
Donner GOF test for homogeneity of kappa statistics
donnerhom(pp, pm, mm)donnerhom(pp, pm, mm)
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
This function can be used only for studies with binary output
This function prints the Donner GOF test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Muammer ALBAYRAK
library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) donnerhom(pp,pm,mm)library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) donnerhom(pp,pm,mm)
Fleiss test for homogeneity of kappa statistics
fleisshom(pp, pm, mm)fleisshom(pp, pm, mm)
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
This function can be used only for studies with binary output
This function prints the Fleiss test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Muammer ALBAYRAK
library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) fleisshom(pp,pm,mm)library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) fleisshom(pp,pm,mm)
Likelihood Score test for homogeneity of kappa statistics
lscorehom(pp, pm, mm)lscorehom(pp, pm, mm)
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching for each study |
This function can be used only for studies with binary output
This function prints the Likelihood Score test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Muammer ALBAYRAK
library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) lscorehom(pp,pm,mm)library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) lscorehom(pp,pm,mm)
Modified Likelihood Score test for homogeneity of kappa statistics
mlscorehom(pp, pm, mm)mlscorehom(pp, pm, mm)
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
This function can be used only for studies with binary output
This function prints the Modified Likelihood Score test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Muammer ALBAYRAK
library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) mlscorehom(pp,pm,mm)library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) mlscorehom(pp,pm,mm)
Pearson GOF test for homogeneity of kappa statistics
pearsonhom(pp, pm, mm)pearsonhom(pp, pm, mm)
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
This function can be used only for studies with binary output
This function prints the Pearson GOF test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Muammer ALBAYRAK
library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) pearsonhom(pp,pm,mm)library(kaphom) pp <- c(11,26,22) pm <- c(6,5,14) mm <- c(22,10,39) pearsonhom(pp,pm,mm)