On the asymmetry of biological frequency distributions
dc.contributor.author | Schork, Nicholas J. | en_US |
dc.contributor.author | Weder, Alan B. | en_US |
dc.contributor.author | Schork, M. Anthony | en_US |
dc.date.accessioned | 2006-04-28T17:01:14Z | |
dc.date.available | 2006-04-28T17:01:14Z | |
dc.date.issued | 1990 | en_US |
dc.identifier.citation | Schork, Nicholas J.; Weder, Alan B.; Schork, M. Anthony (1990)."On the asymmetry of biological frequency distributions." Genetic Epidemiology 7(6): 427-446. <http://hdl.handle.net/2027.42/38499> | en_US |
dc.identifier.issn | 0741-0395 | en_US |
dc.identifier.issn | 1098-2272 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/38499 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2292368&dopt=citation | en_US |
dc.description.abstract | The long-standing problem of determining whether the skewness in a sample frequency distribution is the manifestation of the intermixing of disparate groups characterizable by a normal mixture distribution or the manifestation of non-mixture, skew-producing determinants is discussed. Biometrical tools for modeling and quantifying the significance of the skewness in a trait of interest that invite interpretations other than those formed in mixtures or “subgroups” are elaborated. Statistical methods for testing whether a normal mixture distribution better characterizes a set of data than the proposed (or any other) skewed, single-population-oriented models are offered. The power of these tests is examined through Monte Carlo experimentation. A brief application in hypertension research demonstrates some of the problems and methods discussed in the paper. | en_US |
dc.format.extent | 1198307 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Life and Medical Sciences | en_US |
dc.subject.other | Genetics | en_US |
dc.title | On the asymmetry of biological frequency distributions | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbsecondlevel | Genetics | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Division of Hypertension, Department of Medicine, University of Michigan, Ann Arbor ; Department of Statistics, University of Michigan, Ann Arbor ; Division of Hypertension, Department of Medicine, University of Michigan, R6592 Kresge I, Ann Arbor, MI 48109-0500 | en_US |
dc.contributor.affiliationum | Division of Hypertension, Department of Medicine, University of Michigan, Ann Arbor | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor | en_US |
dc.identifier.pmid | 2292368 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/38499/1/1370070605_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/gepi.1370070605 | en_US |
dc.identifier.source | Genetic Epidemiology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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