Multivariate survivorship analysis using two cross-sectional samples.
As an option to survival analysis with longitudinal data, the writer introduces a method that can be applied when the same cohort is observed in two cross-sectional samples gathered at different points in time. He demonstrates the method by means of an investigation of the effects of race, parity,...
| Publicado en: | Demography Vol. 36; no. 4; pp. 497 - 504 |
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| Formato: | Artículo |
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Springer Science & Business Media B.V.
November 1999
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| 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=511137864&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511137864 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography issn: 00703370 maglogo: N pubinfo: dt: November 1999 vid: 36 iid: 4 pid: 237 pub: Springer Science & Business Media B.V. artinfo: ui: 511137864 10.2307/2648086 ppf: 497 ppct: 7 formats: fmt: @attributes: type: T tig: atl: Multivariate survivorship analysis using two cross-sectional samples. aug: au: Hill, Mark E. su: Survivor function (Statistics) Statistics Demography methodology Cohort analysis Multivariate analysis sug: subj: Survivor function (Statistics) Statistics Demography methodology Cohort analysis Multivariate analysis ab: As an option to survival analysis with longitudinal data, the writer introduces a method that can be applied when the same cohort is observed in two cross-sectional samples gathered at different points in time. He demonstrates the method by means of an investigation of the effects of race, parity, and educational attainment on the survival of older women in the United States. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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