Authors' response to: cohort effects explain the increase in autism diagnosis: an identifiability problem of the age-period-cohort model
- PMID: 25361588
- PMCID: PMC7297228
- DOI: 10.1093/ije/dyu214
Authors' response to: cohort effects explain the increase in autism diagnosis: an identifiability problem of the age-period-cohort model
Comment on
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Cohort effects explain the increase in autism diagnosis among children born from 1992 to 2003 in California.Int J Epidemiol. 2012 Apr;41(2):495-503. doi: 10.1093/ije/dyr193. Epub 2011 Dec 7. Int J Epidemiol. 2012. PMID: 22253308 Free PMC article.
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Cohort effects explain the increase in autism diagnosis: an identifiability problem of the age-period-cohort model.Int J Epidemiol. 2014 Dec;43(6):1988-9. doi: 10.1093/ije/dyu213. Epub 2014 Oct 31. Int J Epidemiol. 2014. PMID: 25361586 No abstract available.
References
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- Keyes KM, Susser E, Cheslack-Postava K, Fountain C, Liu K, Bearman P.Cohort effects explain the increase in autism diagnosis among children born from 1992 to 2003 in California.Int J Epidemiol 2012;41:495–503. - PMC - PubMed
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- Yang Y, Schulhofer-Wohl S, Fu WJ, Land KC.The intrinsic estimator for age-period-cohort analysis: what it is and how to use it.Am J Sociol 2008;113:1697–736.
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- Yang Y, Land KC.A mixed models approach to age-period-cohort analysis of repeated cross-section surveys: trends in verbal test scores. In:Stolzenberg RM. (ed).Sociological Methodology .Vol 36Boston, MA:Blackwell,2006.
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