A marginalized diffusion model for estimating age at first lower endoscopy use from current status data

Diana L Miglioretti; Elizabeth R. Brown

doi:10.1111/j.1467-9876.2007.00600.x

A marginalized diffusion model for estimating age at first lower endoscopy use from current status data

Research output: Contribution to journal › Article › peer-review

Abstract

We propose an approach for estimating the age at first lower endoscopy examination from current status data that were collected via two series of cross-sectional surveys. To model the national probability of ever having a lower endoscopy examination, we incorporate birth cohort effects into a mixed influence diffusion model. We link a state-specific model to the national level diffusion model by using a marginalized modelling approach. In future research, results from our model will be used as microsimulation model inputs to estimate the contribution of endoscopy examinations to observed changes in colorectal cancer incidence and mortality.

Original language	English (US)
Pages (from-to)	61-74
Number of pages	14
Journal	Journal of the Royal Statistical Society. Series C: Applied Statistics
Volume	57
Issue number	1
DOIs	https://doi.org/10.1111/j.1467-9876.2007.00600.x
State	Published - Feb 2008
Externally published	Yes

Keywords

Bayesian
Diffusion of innovations
Hierarchical model
Marginal model

ASJC Scopus subject areas

Mathematics(all)
Statistics and Probability

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abstract = "We propose an approach for estimating the age at first lower endoscopy examination from current status data that were collected via two series of cross-sectional surveys. To model the national probability of ever having a lower endoscopy examination, we incorporate birth cohort effects into a mixed influence diffusion model. We link a state-specific model to the national level diffusion model by using a marginalized modelling approach. In future research, results from our model will be used as microsimulation model inputs to estimate the contribution of endoscopy examinations to observed changes in colorectal cancer incidence and mortality.",

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AB - We propose an approach for estimating the age at first lower endoscopy examination from current status data that were collected via two series of cross-sectional surveys. To model the national probability of ever having a lower endoscopy examination, we incorporate birth cohort effects into a mixed influence diffusion model. We link a state-specific model to the national level diffusion model by using a marginalized modelling approach. In future research, results from our model will be used as microsimulation model inputs to estimate the contribution of endoscopy examinations to observed changes in colorectal cancer incidence and mortality.

KW - Bayesian

KW - Diffusion of innovations

KW - Hierarchical model

KW - Marginal model

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A marginalized diffusion model for estimating age at first lower endoscopy use from current status data

Abstract

Keywords

ASJC Scopus subject areas

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