Dr Kaveh Kiani K.Kiani@salford.ac.uk
Lecturer in Data Science
Inference for survival models with doubly interval censored data and fixed or time dependent covariate
Kiani, K; Arasan, J
Authors
J Arasan
Contributors
S Ao
Editor
L Gelman
Editor
H Kim
Editor
Abstract
In this research inference for survival models with doubly interval censored (DIC) data and fixed or time dependent covariate is discussed. DIC data usually arise in follow-up studies where the lifetime, T = W − V is the elapsed time between two related events, the first event, V and the second event, W where both events are interval censored (IC). The work starts by describing an algorithm that can be used to simulate doubly interval censored data. Following that the parameter estimates of two models with doubly interval censored data and either fixed or time dependent covariate is studied via a comprehensive simulation study. Finally the Wald and Jackknife confidence interval (CI) estimation procedures are explored for the parameters of the time dependent covariate model thorough a coverage probability study.
Citation
Kiani, K., & Arasan, J. Inference for survival models with doubly interval censored data and fixed or time dependent covariate. In S. Ao, L. Gelman, & H. Kim (Eds.), Transactions on Engineering Technologies (187-203). Springer. https://doi.org/10.1007/978-981-32-9531-5_14
Deposit Date | Mar 22, 2023 |
---|---|
Publisher | Springer |
Pages | 187-203 |
Book Title | Transactions on Engineering Technologies |
ISBN | 9789813295315 |
DOI | https://doi.org/10.1007/978-981-32-9531-5_14 |
Publisher URL | http://doi.org/10.1007/978-981-32-9531-5_14 |
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