Evaluation of paternity‐testing data from the joint distribution of paternity index and rate of exclusion

NILS RYMAN, Ranajit Chakraborty

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

We examine the behavior of the joint distribution of exclusion rate (PE) and paternity index (L) when combining the information from an increasing number of genetic marker systems. The (1n(1‐PE), 1n L) distribution for fathers as well as for non‐excluded non‐fathers approaches Bivariate Normality very rapidly as the number of systems increases. The fit is almost perfect when based on only seven systems frequently employed in paternity diagnosis. We argue that a procedure for evaluation of paternity testing data that is based on the distribution of (1n(1‐PE), 1n L)‐values among fathers and non‐fathers would yield a considerably greater power than currently practiced techniques.

Original languageEnglish
Pages (from-to)49-54
Number of pages6
JournalHereditas
Volume96
Issue number1
DOIs
StatePublished - 1 Jan 1982

Fingerprint

Fathers
Genetic Markers
Power (Psychology)

Cite this

RYMAN, NILS ; Chakraborty, Ranajit. / Evaluation of paternity‐testing data from the joint distribution of paternity index and rate of exclusion. In: Hereditas. 1982 ; Vol. 96, No. 1. pp. 49-54.
@article{65dde6cc6e4c48d7ba9c9bef02277fe3,
title = "Evaluation of paternity‐testing data from the joint distribution of paternity index and rate of exclusion",
abstract = "We examine the behavior of the joint distribution of exclusion rate (PE) and paternity index (L) when combining the information from an increasing number of genetic marker systems. The (1n(1‐PE), 1n L) distribution for fathers as well as for non‐excluded non‐fathers approaches Bivariate Normality very rapidly as the number of systems increases. The fit is almost perfect when based on only seven systems frequently employed in paternity diagnosis. We argue that a procedure for evaluation of paternity testing data that is based on the distribution of (1n(1‐PE), 1n L)‐values among fathers and non‐fathers would yield a considerably greater power than currently practiced techniques.",
author = "NILS RYMAN and Ranajit Chakraborty",
year = "1982",
month = "1",
day = "1",
doi = "10.1111/j.1601-5223.1982.tb00032.x",
language = "English",
volume = "96",
pages = "49--54",
journal = "Hereditas",
issn = "0018-0661",
publisher = "BioMed Central Ltd.",
number = "1",

}

Evaluation of paternity‐testing data from the joint distribution of paternity index and rate of exclusion. / RYMAN, NILS; Chakraborty, Ranajit.

In: Hereditas, Vol. 96, No. 1, 01.01.1982, p. 49-54.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Evaluation of paternity‐testing data from the joint distribution of paternity index and rate of exclusion

AU - RYMAN, NILS

AU - Chakraborty, Ranajit

PY - 1982/1/1

Y1 - 1982/1/1

N2 - We examine the behavior of the joint distribution of exclusion rate (PE) and paternity index (L) when combining the information from an increasing number of genetic marker systems. The (1n(1‐PE), 1n L) distribution for fathers as well as for non‐excluded non‐fathers approaches Bivariate Normality very rapidly as the number of systems increases. The fit is almost perfect when based on only seven systems frequently employed in paternity diagnosis. We argue that a procedure for evaluation of paternity testing data that is based on the distribution of (1n(1‐PE), 1n L)‐values among fathers and non‐fathers would yield a considerably greater power than currently practiced techniques.

AB - We examine the behavior of the joint distribution of exclusion rate (PE) and paternity index (L) when combining the information from an increasing number of genetic marker systems. The (1n(1‐PE), 1n L) distribution for fathers as well as for non‐excluded non‐fathers approaches Bivariate Normality very rapidly as the number of systems increases. The fit is almost perfect when based on only seven systems frequently employed in paternity diagnosis. We argue that a procedure for evaluation of paternity testing data that is based on the distribution of (1n(1‐PE), 1n L)‐values among fathers and non‐fathers would yield a considerably greater power than currently practiced techniques.

UR - http://www.scopus.com/inward/record.url?scp=0020466648&partnerID=8YFLogxK

U2 - 10.1111/j.1601-5223.1982.tb00032.x

DO - 10.1111/j.1601-5223.1982.tb00032.x

M3 - Article

C2 - 6953059

AN - SCOPUS:0020466648

VL - 96

SP - 49

EP - 54

JO - Hereditas

JF - Hereditas

SN - 0018-0661

IS - 1

ER -