Math Team

A Multivariate Regression Analysis of Hospital Stays in a Nosocomial Infection Control Data

Research

Report (Word/PDF)   ::    PowerPoint (PPT/PDF)   ::   Poster (PPT/PDF)

Mentor

Mentor: J. A.D. Allagan

adallagan@ecsu.edu
Elizabeth City State University
Resume
Hathaway

Jessica Hathaway

hathawayjessica18@gmail.com
Professional Statement
Resume
Hill

Matthew Hill

mdhill242@students.ecsu.edu
Professional Statement
Resume
Tate

Heaven Tate

tate.heaven@gmail.com
Professional Statement
Resume
Rogers

Lilshay Rogers

lilshay1999.lr@gmail.com
Professional Statement
Resume

ABSTRACT

Extended Abstract (WORD/PDF)

A Multivariate Regression Analysis of Hospital Stays in a Nosocomial Infection Control Data

In this report we developed and analyzed several linear regression models to predict hospital stays (or length of Stay) of patients in the US using the SENIC project data from CDC-Atlanta. We examined several potential exploratory variables and their relations with the response variable “Stay”, with the goal of determining what leading factors influenced the length of stay of patients in this Nosocomial (hospital acquired) infection control data. In particular, our report aimed at answering the following: given the data, what leading factors help explain the hospital stays of patients in US? In at least one model, we found that Age and Regions influenced the variable “Stay” the most.

Keywords: Linear Regression, Nosocomial, Predictors, Response

Links

These links provided resources for this project.

ECSU

Elizabeth City State University

http://www.ecsu.edu
As a constituent institution of The University of North Carolina, Elizabeth City State University offers baccalaureate, professional, and master's degrees for a diverse student body. Our mission is to promote economic, social, and environmental progress for the people of northeastern North Carolina, the state, and the nation.
CERSER

Center of Excellence in Remote Sensing Education and Research

http://cerser.ecsu.edu
The goal of CERSER is to develop and implement innovative and relevant education and research collaborations focused on ice sheet, coastal, ocean, and marine research.
SGCI

Science Gateways Community Institute

https://sciencegateways.org
The Science Gateways Community Institute (SGCI) was established to provide resources, services, experts, and ideas for creating and sustaining science gateways. Science gateways are online interfaces that give researchers, educators, and students easy access to specialized, shared resources that are specific to a science or engineering discipline. For example, they may connect to or between instruments (such as telescopes or sensors), data collections, specialized software, or high-performance computing.

WHO WE ARE

The goal of CERSER is to develop and implement innovative and relevant education and research collaborations focused on ice sheet, coastal, ocean, and marine research. CERSER is also part of the Science Gateways Community Institute (SGCI) which provides coordinating activities across the National Science Foundation, eventually providing services more broadly to projects funded by other agencies. Sharing expertise about technologies and strategies would allow developers to concentrate on the novel, the challenging, and the cutting-edge development needed by their specific user communities.

CERSER

Center of Excellence in Remote Sensing
Education and Research
1704 Weeksville Road, Box 672
Elizabeth City, North Carolina 27909 
Phone (252) 335-3696 Fax (252) 335-3790