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Truncated survival data arise when the event time is observed only if it falls within a subject specific region. The conventional risk‐set adjusted Kaplan–Meier estimator or Cox model can be used for estimation of the event time distribution or regression coefficient. However, the validity of these approaches relies on the assumption of quasi‐independence between truncation and event times. One model...
Relating time‐varying biomarkers of Alzheimer's disease to time‐to‐event using a Cox model is complicated by the fact that Alzheimer's disease biomarkers are sparsely collected, typically only at study entry; this is problematic since Cox regression with time‐varying covariates requires observation of the covariate process at all failure times. The analysis might be simplified by using study entry...
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