Estimation of the incidence rate and mortality rate ratio for chronic conditions based on aggregated current status data
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866909476003512320 |
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| author | Brinks, Ralph |
| author_facet | Brinks, Ralph |
| contents | Recently, it has been shown that the transition rates of the illness-death model (IDM) for chronic conditions are related to the percentages of people in the states by a three-dimensional system of differential equations [Bri24]. The aim of this article is to introduce a method to estimate the age-specific incidence rate together with the mortality rate ratio from aggregated current status (ACS) data. By ACS data we mean counts of (non-necessarily different) people in the three states of the IDM at different points in time. ACS data stem from epidemiological studies where only current disease status and vital status data need to be collected without following-up people (as, for example, in cohort studies). As an application, we use the theory in a simulation study about diabetes in Germany with 600 study subjects at eleven repeated cross-sections each of which with 50% participation quote. Special focus is given to stochastic dependency of the sampled participants. We find a good agreement between the estimates and the input parameters used for the simulation. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2502_02369 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Estimation of the incidence rate and mortality rate ratio for chronic conditions based on aggregated current status data Brinks, Ralph Applications Populations and Evolution Recently, it has been shown that the transition rates of the illness-death model (IDM) for chronic conditions are related to the percentages of people in the states by a three-dimensional system of differential equations [Bri24]. The aim of this article is to introduce a method to estimate the age-specific incidence rate together with the mortality rate ratio from aggregated current status (ACS) data. By ACS data we mean counts of (non-necessarily different) people in the three states of the IDM at different points in time. ACS data stem from epidemiological studies where only current disease status and vital status data need to be collected without following-up people (as, for example, in cohort studies). As an application, we use the theory in a simulation study about diabetes in Germany with 600 study subjects at eleven repeated cross-sections each of which with 50% participation quote. Special focus is given to stochastic dependency of the sampled participants. We find a good agreement between the estimates and the input parameters used for the simulation. |
| title | Estimation of the incidence rate and mortality rate ratio for chronic conditions based on aggregated current status data |
| topic | Applications Populations and Evolution |
| url | https://arxiv.org/abs/2502.02369 |