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Updated: Mar 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Screening for a Chronic Disease: A Multiple Stage Duration Model with Partial Observability
Thomas A Mroz1, Gabriel Picone1, Frank Sloan1
1Georgia State University, USA; University of South Florida, USA; Duke University, USA; Duke University, USA.
Abstract:
We estimate a dynamic multi-stage duration model to investigate how early detection of diabetes can delay the onset of lower extremity complications and death. We allow for partial observability of the disease stage, unmeasured heterogeneity, and endogenous timing of diabetes screening. Timely diagnosis appears important. We evaluate the effectiveness of two potential policies to reduce the monetary costs of frequent screening in terms of lost longevity. Compared to the status quo, the more restrictive policy yields an implicit value for an additional year of life of about $50,000, while the less restrictive policy implies a value of about $120,000.
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