2022/10/20 by Ralph Brinks, Brinks, Ralph
Decision Sciences · Social Sciences · #FOS: Biological sciences #FOS: Computer and information sciences #Health disparities and outcomes #Insurance, Mortality, Demography, Risk Management #Methodology (stat.ME) #Populations and Evolution (q-bio.PE) #demographic modeling and climate adaptation
paper · pdf · doi:10.48550/arxiv.2210.11073
openalex publication_date 2022/10/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This article describes a method to estimate the mortality rate ratio R from current status data with duration in a chronic condition in case the general mortality of the overall population is known. Apart from the general mortality, the method requires four pieces of information from the study participants: age and time at the survey/interview, whether the chronic condition is present (current status) and if so, for how long the condition is present (duration). The method uses a differential equation that relates prevalence, incidence and mortality to estimate R of the people with the chronic condition compared to those without the condition. To demonstrate feasibility, a simulation based on the illness-death model (multi-state model) with transition rates motivated from long-term care is run. It is found that the method requires a large number of study participants (100000 or more) to estimate R with a reasonably low relative error. Despite the large sample size, the method can be useful in settings when cross-sectional information are easily available, e.g., in claims data, and national age-specific general mortality rates are accessible from vital statistics.