biostudies-literatureUnknown8(6)Wu P<h4>Objectives</h4>To address algorithmic bias in clinical prediction models related to the timing of diagnosis, we evaluated the efficacy of mixture cure models that integrate time-to-event and binary classification frameworks to predict diagnoses.<h4>Materials and methods</h4>We conducted a simulation and analyzed real-world North Carolina Medicaid data for children born in 2014, followed until 2023. The study evaluated traditional time-to-event and classification models against mixture cure models under scenarios with varied diagnostic timing and censoring.<h4>Results</h4>Simulation results demonstrated that traditional models exhibit increased bias as diagnosis timing differences widened, whereas mixture cure models yielded unbiased estimates across varying censoring times. In real-worJAMIA openooaf148https://www.ebi.ac.uk/biostudies/studies/S-EPMC12598640biostudies-literatureUsing mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case.PMC12598640Engelhard MMGoldstein BAWu PDavis NODawson GfalseUsing mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case.<h4>Objectives</h4>To address algorithmic bias in clinical prediction models related to the timing of diagnosis, we evaluated the efficacy of mixture cure models that integrate time-to-event and binary classification frameworks to predict diagnoses.<h4>Materials and methods</h4>We conducted a simulation and analyzed real-world North Carolina Medicaid data for children born in 2014, followed until 2023. The study evaluated traditional time-to-event and classification models against mixture cure models under scenarios with varied diagnostic timing and censoring.<h4>Results</h4>Simulation results demonstrated that traditional models exhibit increased bias as diagnosis timing differences widened, whereas mixture cure models yielded unbiased estimates across varying censoring times. In real-wor2025-01-01T00:00:00Z2025 Dec2026-06-05T13:12:09.437Z2026-05-17T03:13:05.416ZS-EPMC125986404122137310.1093/jamiaopen/ooaf148