Generating survival times with time-varying covariates using the Lambert W Function

DOI10.1080/03610918.2019.1648822OpenAlexW2968369704WikidataQ104459662 ScholiaQ104459662MaRDI QIDQ5086345

Debbie M. Cheng, Michael LaValley, David R. Gagnon, Julius S. Ngwa, Howard J. Cabral, L. Adrienne Cupples

Publication date: 5 July 2022

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

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731987

zbMATH Keywords

Lambert W functionlinear mixed effects modeltime-varying covariateslongitudinal and survival datatwo step approach

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SAS

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• On the Lambert \(w\) function
• Simulation techniques for generalized Gaussian densities
• Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS

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