Literature DB >> 3193139

Kappa coefficients in epidemiology: an appraisal of a reappraisal.

H C Kraemer1, D A Bloch.   

Abstract

While we agree with the general message of the Thompson and Walter paper on the use and value of kappa, the mathematical bases of these conclusions, their equations, tables, and figures are based on mathematical assumptions so limiting that their application to real data is questionable. As a result, several of their specific conclusions are misleading. Some of the same results are here obtained without the limiting restrictions. From these results, the value of kappa as a measure of reliability, validity and (possibly) of general 2 x 2 association is demonstrated.

Mesh:

Year:  1988        PMID: 3193139     DOI: 10.1016/0895-4356(88)90032-7

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  14 in total

1.  Validation of an instrument for the documentation of clinical pharmacists' interventions.

Authors:  Benoît Allenet; Pierrick Bedouch; François-Xavier Rose; Laurence Escofier; Renaud Roubille; Bruno Charpiat; Michel Juste; Ornella Conort
Journal:  Pharm World Sci       Date:  2006-10-26

2.  Wide variation in clinicians' assessment of New York Heart Association/World Health Organization functional class in patients with pulmonary arterial hypertension.

Authors:  Darren B Taichman; Michael D McGoon; Michael O Harhay; Chris Archer-Chicko; Jeffrey S Sager; Meena Murugappan; Murali M Chakinali; Harold I Palevsky; Robert Gallop
Journal:  Mayo Clin Proc       Date:  2009-07       Impact factor: 7.616

3.  The abilities of body mass index and skinfold thicknesses to identify children with low or elevated levels of dual-energy X-ray absorptiometry-determined body fatness.

Authors:  David S Freedman; Cynthia L Ogden; Heidi M Blanck; Lori G Borrud; William H Dietz
Journal:  J Pediatr       Date:  2013-02-11       Impact factor: 4.406

4.  The identification of children with adverse risk factor levels by body mass index cutoffs from 2 classification systems: the Bogalusa Heart Study.

Authors:  David S Freedman; Janet E Fulton; William H Dietz; Liping Pan; Allison J Nihiser; Sathanur R Srinivasan; Gerald S Berenson
Journal:  Am J Clin Nutr       Date:  2010-10-27       Impact factor: 7.045

5.  Group Process in the single-gender Women's Recovery Group compared with mixed-gender Group Drug Counseling.

Authors:  Shelly F Greenfield; Laura E Kuper; Amanda M Cummings; Michael S Robbins; Robert J Gallop
Journal:  J Groups Addict Recover       Date:  2013

6.  What the better half is thinking: A comparison of men's and women's responses and agreement between spouses regarding reported sexual and reproductive behaviors in Rwanda.

Authors:  Kathy M Hageman; Etienne Karita; Kayitesi Kayitenkore; Roger Bayingana; Ariane van der Straten; Rob Stephenson; Martha Conkling; Amanda Tichacek; Lawrence Mwananyanda; William Kilembe; Alan Haworth; Elwyn Chomba; Susan A Allen
Journal:  Psychol Res Behav Manag       Date:  2009-03-10

7.  Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?

Authors:  Antonia Zapf; Stefanie Castell; Lars Morawietz; André Karch
Journal:  BMC Med Res Methodol       Date:  2016-08-05       Impact factor: 4.615

8.  International perception of lung sounds: a comparison of classification across some European borders.

Authors:  Juan Carlos Aviles-Solis; Sophie Vanbelle; Peder A Halvorsen; Nick Francis; Jochen W L Cals; Elena A Andreeva; Alda Marques; Päivi Piirilä; Hans Pasterkamp; Hasse Melbye
Journal:  BMJ Open Respir Res       Date:  2017-12-18

9.  Web-Based Information Infrastructure Increases the Interrater Reliability of Medical Coders: Quasi-Experimental Study.

Authors:  Julian Varghese; Sarah Sandmann; Martin Dugas
Journal:  J Med Internet Res       Date:  2018-10-15       Impact factor: 5.428

Review 10.  Assessment scales in stroke: clinimetric and clinical considerations.

Authors:  Jennifer K Harrison; Katherine S McArthur; Terence J Quinn
Journal:  Clin Interv Aging       Date:  2013-02-18       Impact factor: 4.458

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.