Date of Award

3-22-2018

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Mathematics and Statistics

First Advisor

Andrew J. Geyer, PhD.

Abstract

Researchers at the University of Maryland Medical Center in Baltimore have developed a cardiac risk stratification protocol in the hopes of reducing the time-from arrival-to-first-operation for geriatric orthopedic patients. They collected observational data for two years prior to and following the October 2014 implementation of the new screening protocol. Therefore, advanced analytical techniques are required to isolate the treatment effect of the new screening protocol. Propensity score matching (PSM) is used to handle the observational data in order to reduce the bias attributable to the confounding covariates. In addition to PSM, various regression techniques are used to help the researchers determine if their treatment has been successful in reducing the number of cardiac complications experienced by the elderly patients during and post-surgery. Recommendations are then made to the hospital’s researchers.

AFIT Designator

AFIT-ENC-MS-18-M-129

DTIC Accession Number

Pending

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