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Communications in Statistics - Simulation and Computation Volume 51, 2022 - Issue 1
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Original Articles

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

Julius S. Ngwaa Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, USA;b Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USACorrespondence[email protected] [email protected]
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Howard J. Cabrala Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, USAView further author information
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Debbie M. Chenga Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, USAView further author information
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David R. Gagnona Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, USAView further author information
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Michael P. LaValleya Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, USAView further author information
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L. Adrienne Cupplesa Department of Biostatistics, Boston University, School of Public Health, Boston, Massachusetts, USA;c National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USACorrespondence[email protected] [email protected]
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Pages 135-153 | Received 20 Sep 2018, Accepted 21 Jul 2019, Published online: 08 Aug 2019

Citations (5)

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Read on this site (1)

J. H. McVittie. Comment on ‘generating survival times with time-varying covariates using the Lambert W function’. Communications in Statistics - Simulation and Computation 0:0, pages 1-2.
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Articles from other publishers (4)

C.Y. Chew, G. Teng & Y.S. Lai. (2024) Simulation of Erlang and negative binomial distributions using the generalized Lambert function . Journal of Computational Mathematics and Data Science 10, pages 100092.
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Jennifer L. Delzeit & Devin C. Koestler. (2023) Simulating time-to-event data under the Cox proportional hazards model: assessing the performance of the non-parametric Flexible Hazards Method. Frontiers in Applied Mathematics and Statistics 9.
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Julius S. Ngwa, Howard J. Cabral, Debbie M. Cheng, David R. Gagnon, Michael P. LaValley & L. Adrienne Cupples. (2021) Revisiting methods for modeling longitudinal and survival data: Framingham Heart Study. BMC Medical Research Methodology 21:1.
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Yuhan Liu, Jin QI, Hai Yang & Yili Tang. (2022) The Passenger's Willingness to Wait with Sunk Waiting Time: An Empirical Study in Ride-Sourcing Market. SSRN Electronic Journal.
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