Abstract
Three-dimensional age-specific mortality trajectory features the rate of aging and risk for mortality of a population with respect to time (t) and age (x). Demographic and clinical records of patients are key elements to the assessment of interventional outcomes during survival analysis. Herein, a step-by-step protocol shows the retrieval of parametric estimations from both conventional and modified maximum likelihood estimation (MLE) to determine mortality trajectory of hematopoietic stem cells transplant (HSCT) patients characterized by their treatment type.
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References
Lin Y (2018) AFT survival model to capture the rate of aging and age-specific mortality trajectories among first-allogeneic hematopoietic stem cells transplant patients. PLoS One 13. https://doi.org/10.1371/journal.pone.0193287
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Acknowledgments
The author would like to thank her advisors, fellow colleagues, and postdoctorates at the Max Planck Institute for Demographic Research, Germany (2011–2014) for their discussions in statistics and mathematics as the general procedures were a collective knowledge of various human datasets that she was granted permission to work and publish. Special thanks to the editors for the chapter arrangement and delivering mathematical programming at a comprehensive level to the general audience.
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Lin, Y. (2018). 3D Age-Specific Mortality Trajectory: A Survival Analysis Protocol. In: Turksen, K. (eds) Stem Cells and Aging . Methods in Molecular Biology, vol 2045. Humana, New York, NY. https://doi.org/10.1007/7651_2018_189
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DOI: https://doi.org/10.1007/7651_2018_189
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Publisher Name: Humana, New York, NY
Print ISBN: 978-1-4939-9712-1
Online ISBN: 978-1-4939-9713-8
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