Maximizing heritability of a linear combination of traits.
In 1971 Jones proposed an approximate procedure for finding that linear combination of scores which has maximum heritability in a twin sample. I give an exact small-sample procedure. I point out two problems: such procedures can over-optimize the heritability by capitalizing on chance, and confid...
| Publicado en: | Psychological Reports Vol. 75; pp. 467 - 477 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Ammons Scientific, Ltd.
August 1994 pt2
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=508526556&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508526556 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00332941 PSR jtl: Psychological Reports issn: 00332941 maglogo: N pubinfo: dt: August 1994 pt2 vid: 75 pid: 726 pub: Ammons Scientific, Ltd. artinfo: ui: 508526556 ppf: 467 ppct: 10 formats: tig: atl: Maximizing heritability of a linear combination of traits. aug: au: Grove, William M. su: Human genetics Psychological techniques Psychology -- Statistical methods sug: subj: Human genetics Psychological techniques Psychology -- Statistical methods ab: In 1971 Jones proposed an approximate procedure for finding that linear combination of scores which has maximum heritability in a twin sample. I give an exact small-sample procedure. I point out two problems: such procedures can over-optimize the heritability by capitalizing on chance, and confidence intervals and significance tests are needed. I give an approach using James-Stein shrinkage estimation and bootstrapped standard errors to address these problems. It appears that confidence intervals may be quite broad. To reduce the width of the confidence intervals, one can accept some small-sample bias in exchange for smaller sampling errors. The James-Stein approach to estimating coefficients is used to achieve reduced confidence interval width. I illustrate with a computational example using personality data. Reprinted by permission of the publisher, 1994. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|