On sampling by index cases

Agnes Berger and Ora E. Percus

Statistics & Probability Letters, 1985, vol. 3, issue 4, 213-219

Abstract: Using results of Klonecki, optimal C[alpha]-tests of homogeneity for random binomial parameters are obtained from samples collected by the index case method, providing an asymptotically efficient way of judging whether a disease is familial. The efficiency of a traditional test is shown to approach that of the new test as the incidence rate of the disease declines.

Keywords: random; binomial; parameter; c[alpha]-test; homogeneity; test; index; case; proband; familial; disease (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(85)90021-5
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:3:y:1985:i:4:p:213-219

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().