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1 - 1 of 1 results for: EPI 270: Big Data Methods for Behavioral, Social, and Population Health Research

EPI 270: Big Data Methods for Behavioral, Social, and Population Health Research

This course will expose students from a variety of quantitative backgrounds to study design and analysis strategies for addressing specific hypotheses using the varied sources of behavioral, social, and population health sciences research data, and the analytic tools available for analyzing these data. The purpose of this foundational course is to lay the groundwork to have a framework for conceptualizing experiments and observational studies that rely on big data in behavioral science and population health. Weekly course meetings will be organized into three section: (1) Core lecture/discussion: weekly lecture and/or discussion of general principles; (2) Module A (Tuesday): large and complex data from internet, commercial, administrative health record, population database sources; and (3) Module B (Thursday): intensive or voluminous longitudinal data from mHealth, smartphone, and sensor technologies. All students are required to enroll in the core course and at least 1 data type modul more »
This course will expose students from a variety of quantitative backgrounds to study design and analysis strategies for addressing specific hypotheses using the varied sources of behavioral, social, and population health sciences research data, and the analytic tools available for analyzing these data. The purpose of this foundational course is to lay the groundwork to have a framework for conceptualizing experiments and observational studies that rely on big data in behavioral science and population health. Weekly course meetings will be organized into three section: (1) Core lecture/discussion: weekly lecture and/or discussion of general principles; (2) Module A (Tuesday): large and complex data from internet, commercial, administrative health record, population database sources; and (3) Module B (Thursday): intensive or voluminous longitudinal data from mHealth, smartphone, and sensor technologies. All students are required to enroll in the core course and at least 1 data type module (option to enroll in both). Lecture and core modules are one unit each so students should register appropriately for the units that match their schedule. Register for 2 units if core lecture and one discussion section module, register for 3 units if core lecture and both discussion section modules. Prerequisites: EPI 258/259 (or equivalent statistics course, please contact instructors for approval). Students must have some experience in statistical programming in SAS or R.
Terms: Spr | Units: 2-3
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