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How to measure reproductive success?

dc.contributor.authorStrassmann, Beverly I.en_US
dc.contributor.authorGillespie, Brenda W.en_US
dc.date.accessioned2006-04-19T14:09:39Z
dc.date.available2006-04-19T14:09:39Z
dc.date.issued2003-05en_US
dc.identifier.citationStrassmann, Beverly I.; Gillespie, Brenda (2003)."How to measure reproductive success?." American Journal of Human Biology 15(3): 361-369. <http://hdl.handle.net/2027.42/35101>en_US
dc.identifier.issn1042-0533en_US
dc.identifier.issn1520-6300en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/35101
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=12704712&dopt=citationen_US
dc.description.abstractTo date there have been few empirical comparisons between alternative methods for measuring reproductive success (RS). We consider the pros and cons of alternative measures of RS to provide guidance for the design of field studies in human behavioral ecology. We compare cross-sectional measures that count offspring alive at the time of the interview and retrospective measures that require data on offspring age at death or censoring. We consider analyses that include adult women (yielding age-specific estimates of RS) as well as analyses restricted to postreproductive women (yielding data on lifetime RS). These methods are applied to reproductive data for the Dogon of Mali, West Africa. Am. J. Hum. Biol. 15:361–369, 2003. © 2003 Wiley-Liss, Inc.en_US
dc.format.extent90096 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherAnthropologyen_US
dc.titleHow to measure reproductive success?en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Anthropology, University of Michigan, Ann Arbor, Michigan 48109 ; Department of Anthropology, University of Michigan, Ann Arbor, MI 48109en_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, and Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan 48109en_US
dc.identifier.pmid12704712en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/35101/1/10154_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/ajhb.10154en_US
dc.identifier.sourceAmerican Journal of Human Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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