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A model for time to fracture with a shock stream superimposed on progressive degradation: the Study of Osteoporotic Fractures
Author(s) -
He Xin,
Whitmore G. A.,
Loo Geok Yan,
Hochberg Marc C.,
Lee MeiLing Ting
Publication year - 2014
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.6356
Subject(s) - hip fracture , fracture (geology) , event (particle physics) , shock (circulatory) , computer science , econometrics , perspective (graphical) , statistics , medicine , osteoporosis , mathematics , artificial intelligence , engineering , physics , geotechnical engineering , quantum mechanics
Osteoporotic hip fractures in the elderly are associated with a high mortality in the first year following fracture and a high incidence of disability among survivors. We study first and second fractures of elderly women using data from the Study of Osteoporotic Fractures. We present a new conceptual framework, stochastic model, and statistical methodology for time to fracture. Our approach gives additional insights into the patterns for first and second fractures and the concomitant risk factors. Our modeling perspective involves a novel time‐to‐event methodology called threshold regression, which is based on the plausible idea that many events occur when an underlying process describing the health or condition of a person or system encounters a critical boundary or threshold for the first time. In the parlance of stochastic processes, this time to event is a first hitting time of the threshold. The underlying process in our model is a composite of a chronic degradation process for skeletal health combined with a random stream of shocks from external traumas, which taken together trigger fracture events. Copyright © 2014 John Wiley & Sons, Ltd.