Binghamton University 3 credits CCPA
This course builds upon a foundation of understanding about linear and nonlinear modeling and extends that thinking to advanced analyses common in community-based research. The course will prepare you to analyze data with continuous and categorical outcomes and introduce you to common issues in all kinds of analytic activities, including: choices and decisions about model building; the presence of data clustering (i.e. observations that are not independent of one another); methods for addressing missing data; structure and measurement of constructs, latent variable modeling, and strategies for assessing causal impact in observational data sets. Due to constraints of time, these focal points will represent introductions that will position you to move effectively into future statistical courses with specialized topics. Prerequisites: CCPA 605 (or equivalent) Offered: Fall. 3 credits.
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