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Apr 17, 2014 by joelt
Oct 20, 2015 by joelt
PUBH 6310 : Statistical Analysis in Health Policy
Tue, 20 Oct 2015 08:21:02 GMT
Mon, 19 Oct 2015 14:32:33 GMT
Catalog Pages referencing this course
Master of Arts in the Field of International Development Studies
Prevention and Community Health
Public Health (PUBH)
Programs referencing this course
HP-GC: Health Policy
HP-MS: Health Policy
HPOL-MPH: Health Policy
IDS-MA: International Development Studies
PA-MPHHP: Physician Assistant and Health Policy
PHN-MPH: Master of Public Health in the Field of Public Health Nutrition
SBS-PHD: Social and Behavioral Sciences in Public Health
Other Courses referencing this course
In The Catalog Prerequisites:
PUBH 6320 : Advanced Health Policy Analysis
Milken Institute School of Public Health
Public Health (PUBH)
Long Course Title
Statistical Analysis in Health Policy
Short Course Title
Stats Analysis in Health Pol
Number of Credits
Default Grading Method
Repeatable for Credit?
Ku, McCarthy, Bruen
Frequency of Offering
Are there Course Equivalents?
Are Fees Applicable?
Explanation and Description of Fees
Are Additional Resources Required?
Explanation of Additional Resources
Justification for Additional Resources
Describe any Sources of Additional Funding
Quantitative and statistical methods of data analysis for health policy and health services research. Instruction in conducting data analyses using Stata statistical and data analysis software and application of acquired skills to health policy and health services research. Practical experience in programming and analysis of various health policy-related questions. Entering and importing data; creating, saving, and merging data sets; creating and modifying variables; labeling variables and values; and conducting analysis ranging from univariate to multivariate analyses, including multiple regression and logistic regression. The use of existing data sets to analyze health policy issues and interpret these analyses for policy purposes.
Course Learning Objectives – Upon completion of the course, students will be able to: • Demonstrate strong data management skills including creating Stata datasets, reading various types of raw data, creating variables, and processing data. • Utilize statistical techniques in Stata (including descriptive analyses, Student’s t-test, correlation, linear regression, analysis of variance, logistic regression) to analyze datasets, including public use data bases. • Interpret output and analysis results from the above statistical techniques. • Possess a solid basis for performing major statistical techniques needed for future courses or for work in the professional world.
Uploaded a Course Syllabus
Stats for HP Syllabus PubH 6310.docx
Explanation of how the course differs from similar GW courses
Course Reviewer Comments
Fri, 09 Jan 2015 16:51:11 GMT