Dynamic Analysis of Recurrent Event Data with Missing Observations, with Application to Infant Diarrhoea in Brazil

DOI10.1111/j.1467-9469.2006.00525.xzbMath1141.62085OpenAlexW2023535074WikidataQ56787110 ScholiaQ56787110MaRDI QIDQ5430597

Rosemeire L. Fiacone, Ørnulf Borgan, Maurcio L. Barreto, Robin Henderson

Publication date: 16 December 2007

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10852/10348

zbMATH Keywords

longitudinal binary dataadditive regression modeldiscrete time martingale

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (11)

Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes ⋮ Penalised logistic regression and dynamic prediction for discrete-time recurrent event data ⋮ A Hot-Deck Multiple Imputation Procedure for Gaps in Longitudinal Recurrent Event Histories ⋮ Explained variation for recurrent event data ⋮ The partly parametric and partly nonparametric additive risk model ⋮ A dynamic approach for reconstructing missing longitudinal data using the linear increments model ⋮ Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data ⋮ Regret-Regression for Optimal Dynamic Treatment Regimes ⋮ Proportional Rate Model with Incomplete Covariate and Complete Auxiliary Information ⋮ A martingale residual diagnostic for longitudinal and recurrent event data ⋮ A Measure of Explained Variation for Event History Data

Uses Software

• addreg

Cites Work

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• A Dynamic Frailty Model for Multivariate Survival Data
• Recurrent Events Analysis in the Presence of Time-Dependent Covariates and Dependent Censoring
• A Transitional Model for Longitudinal Binary Data Subject to Nonignorable Missing Data
• Statistical models based on counting processes

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