A dynamic Mover-Stayer model for recurrent event processes subject to resolution

DOI10.1007/S10985-013-9271-7zbMath1356.62219OpenAlexW2014167632WikidataQ51198205 ScholiaQ51198205MaRDI QIDQ509836

Richard J. Cook, Hua Shen

Publication date: 21 February 2017

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-013-9271-7

zbMATH Keywords

EM algorithmsemiparametric estimationrecurrent event datadynamic Mover-Stayer model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (4)

Analysis of interval‐censored recurrent event processes subject to resolution ⋮ Marginal regression of recurrent gap times based on semiparametric transformation cure model ⋮ A multiple imputation approach for the Cox-Aalen cure model with interval-censored data ⋮ Estimation and status prediction in a discrete mover‐stayer model with covariate effects on stayer's probability

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