Within-patient recurrent-event dependence

Repeated episodes from one person share susceptibility, treatment and history, so row-wise independence is generally inappropriate. Patient-clustered sandwich covariance matrices estimate uncertainty using whole-patient score contributions under a suitable working model. Shared frailty models instead model persistent latent heterogeneity. These methods require independent sampling units at the patient level and do not necessarily estimate the same marginal versus conditional effect.