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Cohort Prevalence Estimates Are Sensitive to Prebaseline Mortality: A Research Note Using Cognitive Impairment Data From the HAALSI Cohort in Rural South Africa.

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Title: Cohort Prevalence Estimates Are Sensitive to Prebaseline Mortality: A Research Note Using Cognitive Impairment Data From the HAALSI Cohort in Rural South Africa.
Authors: Rosenberg M; Department of Epidemiology and Biostatistics, Indiana University School of Public Health‒Bloomington, Bloomington, IN, USA; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Beidelman E; Department of Epidemiology and Biostatistics, Indiana University School of Public Health‒Bloomington, Bloomington, IN, USA., Chen X; Biostatistics Consulting Center, Indiana University School of Public Health‒Bloomington, Bloomington, IN, USA., Kahn K; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden., Kabudula CW; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Kobayashi LC; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Center for Social Epidemiology and Population Health, and Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Source: Demography [Demography] 2026 Feb 01; Vol. 63 (1), pp. 79-95.
Publication Type: Journal Article
Journal Info: Publisher: Duke University Press Country of Publication: United States NLM ID: 0226703 Publication Model: Print Cited Medium: Internet ISSN: 1533-7790 (Electronic) Linking ISSN: 00703370 NLM ISO Abbreviation: Demography Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Rosenberg+M%22">Rosenberg M</searchLink>; Department of Epidemiology and Biostatistics, Indiana University School of Public Health‒Bloomington, Bloomington, IN, USA; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Beidelman+E%22">Beidelman E</searchLink>; Department of Epidemiology and Biostatistics, Indiana University School of Public Health‒Bloomington, Bloomington, IN, USA.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Biostatistics Consulting Center, Indiana University School of Public Health‒Bloomington, Bloomington, IN, USA.<br /><searchLink fieldCode="AU" term="%22Kahn+K%22">Kahn K</searchLink>; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden.<br /><searchLink fieldCode="AU" term="%22Kabudula+CW%22">Kabudula CW</searchLink>; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Kobayashi+LC%22">Kobayashi LC</searchLink>; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Center for Social Epidemiology and Population Health, and Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
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