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What is Dummy Variable

Handbook of Research on Data Science for Effective Healthcare Practice and Administration
One that takes the value “0” or “1” to indicate the absence or presence of some categorical effect that may be expected to shift the outcome.
Published in Chapter:
Regression-Based Methods of Phase-I Monitoring Surgical Performance Using Risk-Adjusted Charts: An Overview
Negin Asadayyoobi (Sharif University of Technology, Iran)
DOI: 10.4018/978-1-5225-2515-8.ch010
Abstract
Monitoring medical processes gained importance and researchers attempted to reduce death rates by quick detection mortality rate of surgical outcomes in recent years. The patient time until death (survival time) depends on risk factor of each patient, which reflects the patients' health condition prior to surgery. Ignoring differences in risk factors among specific patients, risk adjusted control charts could be considered as a corrective tool to minimize false alarms related to inhomogeneity in patients' health condition. A number of risk adjusted charting procedures have been developed on both phase I & II monitoring of aforementioned outcomes. This chapter will review both models and focus on phase-I risk-adjustment models in medical setting with a particular emphasis on monitoring for surgical context and describe each method's unique properties.
Full Text Chapter Download: US $37.50 Add to Cart
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An Analysis of Gender Inequality in Professional Tennis: A Study of the Cozening Sport
A numeric variable that represents categorical data such as gender, race, political affiliation, etc.
Full Text Chapter Download: US $37.50 Add to Cart
A Model for Reducing the Cost of Refueling in a Flight Route Problem With Discounted Fuel Prices
A dummy variable is one that is not actually in the core of the real problem. Meanwhile, it is added to in a mathematical model to help completing the problem formulation adequately.
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