Handling missing birthdates in marginal regression analysis with recurrent events

DOI10.1080/03610918.2018.1554106zbMath1490.62374OpenAlexW2913181105WikidataQ128519739 ScholiaQ128519739MaRDI QIDQ5083967

Matthew Pietrosanu, Rhonda J. Rosychuk, X. Joan Hu

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1554106

zbMATH Keywords

sample sizesimulation studyadministrative health databasebirthdate distributionpediatric mental health care

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Uses Software

• R
• Rcpp
• RcppArmadillo

Cites Work

• Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
• Time-dependent coefficients in a Cox-type regression model
• RcppArmadillo: accelerating R with high-performance C++ linear algebra
• The statistical analysis of interval-censored failure time data.
• Nonparametric Estimation of a Lifetime Distribution When Censoring Times Are Missing
• Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
• Marginal regression analysis of recurrent events with coarsened censoring times
• On the Cox Model With Time-Varying Regression Coefficients

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