Description Usage Arguments Details Value References Examples
Function to calculate specific agreement and overall proportion of agreement for dichotomous variables.
1 2 3 | DiagnosticAgreement.deVet(ratings, CI = T, ConfLevel = 0.95,
correction = c("continuity", "Fleiss", "bootstrap"), NrBoot = 1000,
Parallel = F, no_cores = detectCores() - 1)
|
ratings |
A dataframe or matrix of N x P with N the number of observations and P the number of raters. |
CI |
Logical, indicates if confidence intervals have to be calculated |
ConfLevel |
The confidence level to be used in calculating the confidence intervals. Possible values
are |
correction |
Method of calculating the confidence intervals (de Vet et al., 2017). The confidence intervals (CI) can be calculated using continuity correction, Fleiss correction or by use of bootstrap samples. |
NrBoot |
In case of bootstrap methodology to calculate the CI, the number of bootstrap samples. |
Parallel |
Logical, indicates if parallel computing has to be used to compute the confidence intervals. Implemented only when using bootstrapping to calculate the confidence intervals. |
no_cores |
Number of cores if parallel computing is used. Default is 1 core less than the number of cores present. |
This function is based on the functions as given in the appendix of the article of de Vet et al. (2017).
A list with the following components:
SumTable |
The summed table as defined in the article of de Vet et al. (2017) |
ObservedAgreem |
The overall proportion of agreement (with CI). |
SpecificAgreem |
The specific agreement for each of the categories (with CIs). |
De Vet HCW, Mokkink LB, Terwee CB, Hoekstra OS, Knol DL. Clinicians are right not to like Cohen’s k. BMJ 2013;346:f2125.
de Vet, H.C.W., Terwee C.B., Knol, D.L., Bouter, L.M. (2006). When to use agreement versus reliability measures. Journal of Clinical Epidemiology, Vol.59(10), pp.1033-1039
de Vet, H.C.W., Dikmans, R.E., Eekhout, I. (2017). Specific agreement on dichotomous outcomes can be calculated for more than two raters. Journal of Clinical Epidemiology, Vol.83, pp.85-89
1 2 3 4 5 | # Load data
data(Agreement_deVetArticle)
Df = Agreement_deVetArticle
DiagnosticAgreement.deVet(Df)
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