Statisticians spend some proportion of their time doing methodological research related to cancer screening.
When screening, one will only identifies disease if it is present and the screen is positive. We will study interval censoring when the sensitivity of the screening test increases as the precancerous lesion grows.
We will apply methods designed for non-compliance to estimate over-diagnosis from trials with extended follow-up in which the control arm are offered screening at the end of the trial.
We will investigate how best to quantify exposure to screening in observational studies.
The issue is whether one can use such studies to accurately estimate the benefit of screening at different intervals.
Various measures will be studied both theoretically and by simulation.
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