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Longitudinal Data Analysis

QAC 311
Spring 2018
Section: 01  
Certificates: Applied Data Science

Work across different fields, from medicine and public health to social sciences and education, often involves the collection and analysis of longitudinal data--combination of cross-sectional and time series (repeated measures for the unit of observation) data. This rich data structure provides opportunities to explore questions that could not be addressed with simpler data sets, but at the same time requires special considerations because we are analyzing observations that are not independent. The course introduces students to appropriate graphical exploration of the data and the specification and estimation of fixed and random-effects models. It also develops the basic framework for difference-in-differences models and explores their applications.
Credit: .5 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Laboratory CourseGrading Mode: Graded
Level: UGRD Prerequisites: [QAC201 or SOC257 or GOVT201 or PSYC280 or NS&B280] OR [QAC380 or PSYC395] OR ECON300 OR [GOVT367 or QAC302] OR PSYC200
Fulfills a Major Requirement for: (DATA-MN)
Past Enrollment Probability: 90% or above

Last Updated on SEP-19-2017
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