Nonparametric Inference for Markov Processes with Missing Absorbing State

DOI10.5705/SS.202017.0175zbMath1434.62036OpenAlexW2811178825WikidataQ90086837 ScholiaQ90086837MaRDI QIDQ5243749

Constantin T. Yiannoutsos, Giorgos Bakoyannis, Ying Zhang

Publication date: 19 November 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6740325

zbMATH Keywords

censored datacompeting risksnonparametric estimationAalen-Johansen estimatorcumulative incidence functionpseudolikelihoodfinite state spacedouble-samplingmissing cause of failure

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric estimation (62G05) Censored data models (62N01) Markov processes: hypothesis testing (62M02)

Related Items (2)

Semiparametric regression and risk prediction with competing risks data under missing cause of failure ⋮ Nonparametric tests for transition probabilities in nonhomogeneous Markov processes

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