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Viewing: PUBH 6310 : Statistical Analysis in Health Policy

Last approved: Tue, 20 Oct 2015 08:21:02 GMT

Last edit: Mon, 19 Oct 2015 14:32:33 GMT

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In The Catalog Prerequisites:

PUBH 6320 : Advanced Health Policy Analysis
Milken Institute School of Public Health
Public Health (PUBH)
Statistical Analysis in Health Policy
Stats Analysis in Health Pol
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PUBH 6002

Ku, McCarthy, Bruen
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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.
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ebrunori (Fri, 09 Jan 2015 16:51:11 GMT): Update summary
Key: 6995