Nonparametric estimation of transition probabilities for a general progressive multi‐state model under cross‐sectional sampling
Nonparametric estimation of transition probabilities for a general progressive multi‐state model under cross‐sectional sampling
Summary Nonparametric estimation of the transition probability matrix of a progressive multi-state model is considered under cross-sectional sampling. Two different estimators adapted to possibly right-censored and left-truncated data are proposed. The estimators require full retrospective information before the truncation time, which, when exploited, increases efficiency. They are obtained as differences …