Courses Details

HMP605: Applied Statistics For Healthcare Administration

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Edward Norton, David Mendez, (Residential);
  • Prerequisites: None
  • Description: Introduction to statistics with applications to problems that arise in the field of health management and administration. The students will be exposed to basic probability theory, sampling distributions, hypothesis testing, analysis of variance, simple and multiple regression analysis, and logistic regression. All the analyses will be conducted using Microsoft Excel.
  • Learning Objectives: Students will develop skills in i) formulating an abstract statistical model of a health management- or policy-related problem; ii) choosing the appropriate statistical technique to analyze the problem iii) translating the solutions to the problem from the statistical model back into the original “real world” situation.
  • Syllabus for HMP605
NortonEdward
Edward Norton
MendezDavid
David Mendez