Literature DB >> 23034867

Deriving age-specific incidence from prevalence with an ordinary differential equation.

Ralph Brinks1, Sandra Landwehr, Andrea Icks, Michael Koch, Guido Giani.   

Abstract

This article describes new relationships between the age-specific incidence of, the prevalence of and mortality from a chronic disease. We express these relationships in terms of an ordinary differential equation and form the methodological basis for a novel approach to estimating incidences from age-specific prevalence data. We examine practical aspects of the relationships and a comparison with a known stochastic method in a simulation study. Finally, we apply the novel method to a data set of renal replacement therapy recorded from patients with chronic kidney failure in a region of Germany with approximately 310,000 inhabitants from 2002 to 2010.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 23034867     DOI: 10.1002/sim.5651

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  14 in total

1.  Illness-death model: statistical perspective and differential equations.

Authors:  Ralph Brinks; Annika Hoyer
Journal:  Lifetime Data Anal       Date:  2018-01-27       Impact factor: 1.588

Review 2.  Advanced myopia, prevalence and incidence analysis.

Authors:  Peter R Greene; Judith M Greene
Journal:  Int Ophthalmol       Date:  2017-04-04       Impact factor: 2.031

3.  A new relation between prevalence and incidence of a chronic disease.

Authors:  Ralph Brinks; Sandra Landwehr
Journal:  Math Med Biol       Date:  2015-01-09       Impact factor: 1.854

4.  The Prevalence and Incidence of Diabetes in Germany.

Authors:  Teresa Tamayo; Ralph Brinks; Annika Hoyer; Oliver S Kuß; Wolfgang Rathmann
Journal:  Dtsch Arztebl Int       Date:  2016-03-18       Impact factor: 5.594

5.  Change rates and prevalence of a dichotomous variable: simulations and applications.

Authors:  Ralph Brinks; Sandra Landwehr
Journal:  PLoS One       Date:  2015-03-06       Impact factor: 3.240

6.  Age of onset in chronic diseases: new method and application to dementia in Germany.

Authors:  Ralph Brinks; Sandra Landwehr; Regina Waldeyer
Journal:  Popul Health Metr       Date:  2013-05-02

7.  Estimating prevalence of type I and type II diabetes using incidence rates: the SEARCH for diabetes in youth study.

Authors:  Thaddäus Tönnies; Giuseppina Imperatore; Annika Hoyer; Sharon H Saydah; Ralph B D'Agostino; Jasmin Divers; Scott Isom; Dana Dabelea; Jean M Lawrence; Elizabeth J Mayer-Davis; Catherine Pihoker; Lawrence Dolan; Ralph Brinks
Journal:  Ann Epidemiol       Date:  2019-07-12       Impact factor: 6.996

8.  Development and demonstration of a state model for the estimation of incidence of partly undetected chronic diseases.

Authors:  Ralph Brinks; Barbara H Bardenheier; Annika Hoyer; Ji Lin; Sandra Landwehr; Edward W Gregg
Journal:  BMC Med Res Methodol       Date:  2015-11-11       Impact factor: 4.615

9.  Lexis diagram and illness-death model: simulating populations in chronic disease epidemiology.

Authors:  Ralph Brinks; Sandra Landwehr; Rebecca Fischer-Betz; Matthias Schneider; Guido Giani
Journal:  PLoS One       Date:  2014-09-12       Impact factor: 3.240

10.  Age-specific and sex-specific incidence of systemic lupus erythematosus: an estimate from cross-sectional claims data of 2.3 million people in the German statutory health insurance 2002.

Authors:  Ralph Brinks; Annika Hoyer; Sergej Weber; Rebecca Fischer-Betz; Oliver Sander; Jutta G Richter; Gamal Chehab; Matthias Schneider
Journal:  Lupus Sci Med       Date:  2016-11-25
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