Overview
Description
This is course presents applications of multivariable statistics related to social and behavioral sciences. It provides statistical techniques for exploring and summarizing multivariable data using numerical methods to uncover hidden information and patterns.
Requirements
Prerequisites
- Admission into Doctoral Program in Public Health.
Original catalog text
Prerequisites
Prerequisite(s): Admission into Doctoral Program in Public Health.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Restrictions
Admission into Doctoral Program in Public Health.
Attributes
Standard
Learning Outcomes
- evaluate, justify, and apply appropriate methodological and analytical approaches to address public health research questions.
- effectively defend research methodology and findings through concise scientific writing and oral presentations.
- manage and analyze data using classic and modern approaches appropriate for various study designs using software packages such as SAS, R, STATA, SPlus, and WinBUGS.
- defend analytical models and the results from statistical inferences to diverse audiences through written and oral presentations.