Risk-period-cohort approach for averting identification problems in longitudinal models.

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Bibliographic Details
Title: Risk-period-cohort approach for averting identification problems in longitudinal models.
Authors: Gunzler DD; Case Western Reserve University, Center for Health Care Research & Policy, MetroHealth Medical Center, Cleveland, Ohio, United States of America.; Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland, Ohio, United States of America., Perzynski AT; Case Western Reserve University, Center for Health Care Research & Policy, MetroHealth Medical Center, Cleveland, Ohio, United States of America., Dawson NV; Case Western Reserve University, Center for Health Care Research & Policy, MetroHealth Medical Center, Cleveland, Ohio, United States of America.; Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland, Ohio, United States of America., Kauffman K; Case Western Reserve University, Center for Reducing Health Disparities, MetroHealth Medical Center, Cleveland, Ohio, United States of America., Liu J; Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland, Ohio, United States of America., Dalton JE; Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, United States of America.
Source: PloS one [PLoS One] 2019 Jul 10; Vol. 14 (7), pp. e0219399. Date of Electronic Publication: 2019 Jul 10 (Print Publication: 2019).
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0219399