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FOUNDATIONS OF DATA ANALYSIS FOR HEALTH POLICY

PUBAFFR 242
과목 설명

We have entered a new era of "big data." It is now possible to collect and analyze genetic information, digital health records, and many other types of data quickly, cheaply, and non-invasively from large numbers of people. This new wealth of information creates exciting opportunities for more targeted, individualized approaches to health care and better management of public health risks such as age-related diseases or pandemics. However, it also creates policy challenges such as privacy, discrimination, equality, and fairness. Covers what types of health-relevant data exist, how such data is typically analyzed and used, and discuss what types of applications this enables, what type of policy challenges this brings about, and which options policy makers have to deal with these challenges. Analytic methods will include regression, principal component and cluster analysis, statistical approaches for prediction, how to interpret the results of such analyses and their limitations.

선수과목

Sophomore standing

충족 요건

This course does not satisfy any prerequisites.

학점

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개설 시기

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평점
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변화 계산 불가

수료율
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변화 계산 불가

A 비율
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학급 규모
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과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

HEALTH SYSTEMS AND POLICY

PUBAFFR 863

Explore factors that influence health outcomes in the United States. Review policies that affect the organization and financing of health care and public health systems. Apply systems approaches to evaluate health policy and health outcomes in the United States. Apply practical strategies to understand and communicate about health challenges and policy approaches to improve population health within complex, dynamic systems.

POLICY, PRIVACY, AND PERSONAL IDENTITY IN THE POSTGENOMICS ERA

PUBAFFR 523

Social genomics integrates theories and methods in the genomic, social, and population health sciences to answer questions relevant to public health and social well-being. Research topics in social genomics and their implications for social and public policy are covered in this course. Key concepts in human genetics, population genetics, and statistical genetics are introduced, as well as historical and contemporary policy debates surrounding scientific advances in genomics. Fundamental questions include social repercussions of genomics research, the rationale for government intervention, and how to approach policy analysis in an era where the genomic revolution is changing how we think about privacy and personal identity.

ADVANCED STATISTICAL METHODS FOR PUBLIC POLICY ANALYSIS

PUBAFFR 819

A review of intermediate statistics, and an introduction to analytical, quantitative and computer techniques applicable to the analysis of public policy.

INTRODUCTION TO HEALTH POLICY IN THE UNITED STATES

PUBAFFR 201

Offers an introduction to health policy in the United States. Examines the ways in which government plays a role in the provision and regulation of health care. Explores key aspects of health policy including the economics of health care (e.g., paying for and access to health care; the health care workforce; the role of markets and consequences of market/government failures, public policy that supports or promotes health; health care outcomes, quality, and disparities; and tools for evaluation) and special topics of interest such as policy addressing risky health behaviors, aging, mental health, and the Affordable Care Act. Think critically about public and private health issues using the policy analysis process, including policy interventions and their justifications, and gain skills in articulating and communicating policy positions.

WORKSHOP IN HEALTH POLICY

PUBAFFR 360

Provides opportunities to engage in research on health policy issues and possible solutions.