In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

knitr::opts_chunk$set(collapse = TRUE, comment = "#>")

The package also includes tools to assess agreement between raters and to plan reliability studies.

Example Dataset

df_agr <- read.csv(system.file("extdata", "agreement_example.csv", package = "meddecide"))
head(df_agr)

Calculating Agreement

Use the agreement() function to compute Cohen's or Fleiss' Kappa statistics depending on the number of raters.

agr_res <- agreement(data = df_agr)
agr_res$kappa

Sample Size for Agreement Studies

The functions kappaSizeCI(), kappaSizeFixedN() and kappaSizePower() help determine the sample size needed for agreement research.

# precision based approach
kappaSizeCI(kappa0 = 0.7, conf.level = 0.95, w = 0.1)

# fixed number of raters
kappaSizeFixedN(kappa0 = 0.7, n = 60)

# power based approach
kappaSizePower(kappa0 = 0.7, kappa1 = 0.8, power = 0.8)

These calculations support planning of reliability experiments in clinical research.

sbalci/ClinicoPathJamoviModule documentation built on June 13, 2025, 9:34 a.m.