Article

Moving Past the Classics: Modern Approaches for Forecasting Small Cell Lung Cancer Incidence in the US

2026-04-23

Abstract excerpt

<title>Abstract</title> <p>Background Reliable forecasts of disease incidence are essential for healthcare planning, resource allocation, and pharmaceutical strategy. Classical time-series methods such as autoregressive integrated moving average (ARIMA) and exponential smoothing (ETS) are widely used for incidence projections, but their capacity to capture nonlinear trends, handle structural change, and provide...

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Literature Corpus work: 1150b1a5-14c1-55e3-820c-0d5cff526417
DOI: 10.21203/rs.3.rs-9069493/v1

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