Dynamic Modelling of Time-to-Event Processes (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
- Softcover
- New
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Paperback. Dynamic Modelling of Time-to-Event Processes This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9780443223433
- Title
- Dynamic Modelling of Time-to-Event Processes (Paperback)
- Author
- Gangaram S. Ladde
- Publisher
- Elsevier - Health Sciences Division, Philadelphia
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0443223432
- ISBN 13
- 9780443223433
Dynamic Modelling of Time-to-Event Processes covers an alternative dynamic modelling approach for studying time-to-event processes. This innovative approach covers some key elements, including the Development of continuous-time state of dynamic time-to-event processes, an Introduction of an idea of discrete-time dynamic intervention processes, Treating a time-to-event process operating/functioning under multiple time-scales formulation of continuous and discrete-time interconnected dynamic system as hybrid dynamic time-to-event process, Utilizing Euler-type discretized schemes, developing theoretical dynamic algorithms, and more.
Additional elements of this process include an Introduction of conceptual and computational state and parameter estimation procedures, Developing multistage a robust mean square suboptimal criterion for state and parameter estimation, and Extending the idea conceptual computational simulation process and applying real datasets.
- Presents a dynamic approach which does not require a closed-form survival/reliability distribution
- Provides updates that are independent of existing Maximum likelihood, Bayesian, and Nonparametric methods
- Applies to nonlinear and non-stationary interconnected large-scale dynamic systems
- Includes frailty and other models in survival analysis as case studies
"Synopsis" may belong to another edition of this title.
About the Author
Emmanuel A. Appiah is an Assistant Professor of Mathematics at Prairie View A&M University. His research focuses on integrating mathematics, statistics, and computer science to address challenges in healthcare, epidemiology, and the social sciences.
Dr. Jay Ladde is an emergency medicine physician in Orlando, Florida. He is the Senior Associate Program Director of Emergency Medicine, Orlando Health, Florida. Prior to this, he was the Associate Program Director of Emergency Medicine at the Orlando Regional Medical Center, Florida. He received his medical degree (MD) from Baylor College of Medicine, Texas, and has been in practice for more than 20 years. Dr. Ladde has held faculty appointments at various universities. He is currently a Clinical Professor at the University of Central Florida, Florida. He is the chair of the Florida College of Emergency Physicians Council of Residencies Committee and co-chair of the Florida College of Emergency Physicians Education and Academic Affairs Committee. Dr. Ladde has published several peer-reviewed articles in reputable medical journals.
"About the title" may belong to another edition of this title.
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