Browsing by Author "Miller, E"
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Item Open Access 166 Predictive Modeling of Length of Hospital Stay Following Adult Spinal Deformity Correction: Analysis of 653 Patients With an Accuracy of 75% Within 2 Days(Neurosurgery, 2016-08-01) Scheer, JK; Ailon, TT; Smith, JS; Hart, R; Burton, DC; Bess, S; Neuman, BJ; Passias, PG; Miller, E; Shaffrey, CI; Schwab, F; Lafage, V; Klineberg, E; Ames, CPINTRODUCTION: The length of stay (LOS) following adult spinal deformity (ASD) surgery is a critical time period allowing for recovery to levels safe enough to return home or to rehabilitation. Thus, the goal is to minimize it for conserving hospital resources and third-party payer pressure. Factors related to LOS have not been studied nor has a predictive model been created. The goal of this study was to construct a preadmission predictive model based on patients' baseline variables and modifiable surgical parameters.Item Open Access Persistent Homology Analysis of Brain Artery Trees.(Ann Appl Stat) Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, SNew representations of tree-structured data objects, using ideas from topological data analysis, enable improved statistical analyses of a population of brain artery trees. A number of representations of each data tree arise from persistence diagrams that quantify branching and looping of vessels at multiple scales. Novel approaches to the statistical analysis, through various summaries of the persistence diagrams, lead to heightened correlations with covariates such as age and sex, relative to earlier analyses of this data set. The correlation with age continues to be significant even after controlling for correlations from earlier significant summaries.