Arbeitspapier

Analyzing bivariate continuous data that have been grouped into categories defined by sample quantiles of the marginal distributions

Epidemiologists sometimes study the association between two measures of exposure on the same subjects by grouping the data into categories that are defined by sample quantiles of the two marginal distributions. Although such grouped data are presented in a twoway contingency table, the cell counts in this table do not have a multinomial distribution. We use the term bivariate quantile distribution (BQD) to describe the joint distribution of counts in such a table. Blomqvist (1950) gave an exact BQD theory for the case of only 4 categories based on division at the sample medians. The asymptotic theory he presented was not valid, however, except in special cases. We present a valid asymptotic theory for arbitrary numbers of categories and apply this theory to construct confidence intervals for the kappa statistic. We show by simulations that the confidence interval procedures we propose have near nominal coverage for sample sizes exceeding 90, both for 2 x 2 and 3 x 3 tables. These simulations also illustrate that the asymptotic theory of Blomqvist (1950) and the methods given by Fleiss, Cohen and Everitt (1969) for multinomial sampling can yield subnominal coverage for BQD data, although in some cases the coverage for these procedures is near nominal levels.

Sprache
Englisch

Erschienen in
Series: SFB 373 Discussion Paper ; No. 1997,15

Klassifikation
Wirtschaft
Thema
Agreement
bivariate sample quantile distribution
contingency table
kappa statistic
sample quantile

Ereignis
Geistige Schöpfung
(wer)
Borkowf, Craig B.
Gail, Mitchell H.
Carroll, Raymond J.
Gill, Richard D.
Ereignis
Veröffentlichung
(wer)
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
(wo)
Berlin
(wann)
1997

Handle
URN
urn:nbn:de:kobv:11-10063752
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Borkowf, Craig B.
  • Gail, Mitchell H.
  • Carroll, Raymond J.
  • Gill, Richard D.
  • Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes

Entstanden

  • 1997

Ähnliche Objekte (12)