search for: interrat

...y getting the variance components from ANOVA. > -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Karl Knoblick > Sent: Tuesday, May 16, 2006 6:10 AM > To: r-help at stat.math.ethz.ch > Subject: [R] Interrater and intrarater variability > (intraclass correlationcoefficients) > > Hello! > > I want to calculate the intra- and interrater reliability of > my study. The design is very simple, 5 raters rated a > diagnostic score 3 times for 19 patients. > > Are there method...

Hello! I want to calculate the intra- and interrater reliability of my study. The design is very simple, 5 raters rated a diagnostic score 3 times for 19 patients. Are there methods/funtions in R? I only found packages to calculate interrater variability and intraclass correlation coefficients for matrices of n*m (n subjects, m raters) - I have n...

...me data set, all with different interpretations. All of the inputs for these calculations come from the repeated measures analysis which is described in P&B. Good luck! P. Message: 1 Date: Tue, 16 May 2006 10:09:54 +0000 (GMT) From: Karl Knoblick <karlknoblich at yahoo.de> Subject: [R] Interrater and intrarater variability (intraclass correlation coefficients) To: r-help at stat.math.ethz.ch Message-ID: <20060516100954.6267.qmail at web26504.mail.ukl.yahoo.com> Content-Type: text/plain; charset=us-ascii Hello! I want to calculate the intra- and interrater reliability of my study...

Hi All: Could anyone point me to a package that can calculate stratified kappa? My design is like this, 4 raters, 30 types of diagnosis scores, 20 patients. Each rater will rate each patient for each type of diagnosis score. The rater's value is nominal. I know I can measure the agreement between raters for each type of diagnosis score, e.g., calculate out 30 kappa values. My problem is I

Hello dear R help group. I encountered this old thread (http://tinyurl.com/dklgsk) containing the a similar question to the one I have, but left without an answer. I am and hoping one of you might help. A simplified situation: I have a factorial design (with 2^3 experiment combinations), for 167 subjects, each one has answered the same question twice (out of a bunch of "types" of

...asziw et. al. 1994; Phys. Therapy 74.8; 777-788. # all references in this function are to this article. # input: Results, data frame representating a data structure as in Table 1 (p. 779), # with consecutive measurements for each rater in adjacent columns. # rho0inter: null hypothesis value of the interrater reliability coefficient # rho0intra: null hypothesis value of the intrarater reliability coefficient # conf.level: confidence level of the one-sided confidence intervals reported for the reliability coefficients Frame1<-data.frame(cbind( rep(1:nsubj,nrater*nmeas),rep(1:nrater,rep(nsubj*nmeas,...

...ival model. * kappaSize (1.0) Maintainer: Michael A Rotondi Author(s): Michael A Rotondi <mrotondi at yorku.ca> License: GPL (>= 2) http://crantastic.org/packages/kappaSize This package contains basic tools for the purpose of sample size estimation in studies of interobserver/interrater agreement (reliability). This package contains sample size estimation functions for both the power-based and confidence interval-based methods, with binary or multinomial outcomes and two through six raters. * koRpus (0.04-27) Maintainer: m.eik michalke Author(s): m.eik michalke &lt...

...s article. > # Arguments > # x: data frame representing a data structure as in Table 1 (p 779), > #  with consecutive measurements for each rater in adjacent columns. > #  i.e. rater1measure1 rater1measure2 ... rater2measure1 rater2measure2 > # rho0inter: null hypothesis value of the interrater reliability > coefficient > # rho0intra: null hypothesis value of the intrarater reliability > coefficient > # conf.level: confidence level of the one-sided confidence intervals > reported > # for the reliability coefficients > # output reformatted as an "irrlist" s...