Incidence and mortality of Alzheimer's disease or dementia using an illness-death model

We present an illness‐death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness‐death model is better than a survival model for this purpose. In this model the best choice for the basic time‐scale is age. Then we present extensions o...

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Published inStatistics in medicine Vol. 23; no. 2; pp. 199 - 210
Main Authors Commenges, D., Joly, P., Letenneur, L., Dartigues, JF
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 30.01.2004
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Abstract We present an illness‐death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness‐death model is better than a survival model for this purpose. In this model the best choice for the basic time‐scale is age. Then we present extensions of this model for incorporating covariates and taking account of a possible effect of calendar time. Calendar time is introduced via a proportional intensity model. We give the likelihood for a mixed discrete‐continuous observation pattern from this model: clinical status is observed at discrete visit‐times while the date of death is observed exactly or right‐censored. The penalized likelihood approach allows to non‐parametrically estimate the transition intensities. Application on the data of the Paquid study allows to produce estimates of the age‐specific incidence of dementia together with mortality rates of both demented and non‐demented subjects. Then the effect of calendar time and educational level are studied. Low educational level increases the risk of dementia. The risk of dementia increases with calendar time while the mortality of demented subjects decreases. The most likely explanation of this result seems to be in a shift in the diagnosis of dementia towards earlier stages of the disease prompted by a change in the perception of dementia and the arrival of new drugs. Copyright © 2004 John Wiley & Sons, Ltd.
AbstractList We present an illness-death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness-death model is better than a survival model for this purpose. In this model the best choice for the basic time-scale is age. Then we present extensions of this model for incorporating covariates and taking account of a possible effect of calendar time. Calendar time is introduced via a proportional intensity model. We give the likelihood for a mixed discrete-continuous observation pattern from this model: clinical status is observed at discrete visit-times while the date of death is observed exactly or right-censored. The penalized likelihood approach allows to non-parametrically estimate the transition intensities. Application on the data of the Paquid study allows to produce estimates of the age-specific incidence of dementia together with mortality rates of both demented and non-demented subjects. Then the effect of calendar time and educational level are studied. Low educational level increases the risk of dementia. The risk of dementia increases with calendar time while the mortality of demented subjects decreases. The most likely explanation of this result seems to be in a shift in the diagnosis of dementia towards earlier stages of the disease prompted by a change in the perception of dementia and the arrival of new drugs.
Abstract We present an illness‐death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness‐death model is better than a survival model for this purpose. In this model the best choice for the basic time‐scale is age. Then we present extensions of this model for incorporating covariates and taking account of a possible effect of calendar time. Calendar time is introduced via a proportional intensity model. We give the likelihood for a mixed discrete‐continuous observation pattern from this model: clinical status is observed at discrete visit‐times while the date of death is observed exactly or right‐censored. The penalized likelihood approach allows to non‐parametrically estimate the transition intensities. Application on the data of the Paquid study allows to produce estimates of the age‐specific incidence of dementia together with mortality rates of both demented and non‐demented subjects. Then the effect of calendar time and educational level are studied. Low educational level increases the risk of dementia. The risk of dementia increases with calendar time while the mortality of demented subjects decreases. The most likely explanation of this result seems to be in a shift in the diagnosis of dementia towards earlier stages of the disease prompted by a change in the perception of dementia and the arrival of new drugs. Copyright © 2004 John Wiley & Sons, Ltd.
We present an illness-death model for studying the incidence and the prevalence of Alzheimer’s disease or dementia. We argue that the illness-death model is better than a survival model for this purpose. In this model the best choice for the basic time-scale is age. Then we present extensions of this model for incorporating covariates and taking account of a possible effect of calendar time. Calendar time is introduced via a proportional intensity model. We give the likelihood for a mixed discrete-continuous observation pattern from this model: clinical status is observed at discrete visit-times while the date of death is observed exactly or right-censored. The penalized likelihood approach allows to non-parametrically estimating the transition intensities. Application on the data of the Paquid study allows to produce estimates of the age-specific incidence of dementia together with mortality rates of both demented and non-demented subjects. Then the effect of calendar time and educational level are studied. Low educational level increases the risk of dementia. The risk of dementia increases with calendar time while the mortality of demented decreases. The most likely explanation of this result seems to be in a shift in the diagnosis of dementia towards earlier stages of the disease prompted by a change in the perception of dementia and the arrival of new drugs.
We present an illness‐death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness‐death model is better than a survival model for this purpose. In this model the best choice for the basic time‐scale is age. Then we present extensions of this model for incorporating covariates and taking account of a possible effect of calendar time. Calendar time is introduced via a proportional intensity model. We give the likelihood for a mixed discrete‐continuous observation pattern from this model: clinical status is observed at discrete visit‐times while the date of death is observed exactly or right‐censored. The penalized likelihood approach allows to non‐parametrically estimate the transition intensities. Application on the data of the Paquid study allows to produce estimates of the age‐specific incidence of dementia together with mortality rates of both demented and non‐demented subjects. Then the effect of calendar time and educational level are studied. Low educational level increases the risk of dementia. The risk of dementia increases with calendar time while the mortality of demented subjects decreases. The most likely explanation of this result seems to be in a shift in the diagnosis of dementia towards earlier stages of the disease prompted by a change in the perception of dementia and the arrival of new drugs. Copyright © 2004 John Wiley & Sons, Ltd.
Author Letenneur, L.
Commenges, D.
Dartigues, JF
Joly, P.
AuthorAffiliation 1 Equipe de Biostatistique INSERM Université Bordeaux Segalen - Bordeaux 2 IFR99 ISPED Universite Victor Segalen 146, Rue Leo Saignat 33076 BORDEAUX CEDEX
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Snippet We present an illness‐death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness‐death model is...
We present an illness-death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness-death model is...
Abstract We present an illness‐death model for studying the incidence and the prevalence of Alzheimer's disease or dementia. We argue that the illness‐death...
We present an illness-death model for studying the incidence and the prevalence of Alzheimer’s disease or dementia. We argue that the illness-death model is...
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SubjectTerms Alzheimer Disease
Alzheimer Disease - epidemiology
Alzheimer Disease - mortality
Alzheimer's disease
Dementia
Dementia - epidemiology
Dementia - mortality
France
France - epidemiology
Humans
incidence
interval-censored data
Life Sciences
Markov Chains
Markov models
Models, Statistical
multistate models
Santé publique et épidémiologie
Title Incidence and mortality of Alzheimer's disease or dementia using an illness-death model
URI https://api.istex.fr/ark:/67375/WNG-22J28ZC4-3/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fsim.1709
https://www.ncbi.nlm.nih.gov/pubmed/14716722
https://search.proquest.com/docview/80092219
https://inserm.hal.science/inserm-00262112
https://pubmed.ncbi.nlm.nih.gov/PMC5352829
Volume 23
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