Spring 2020 - HSCI 484 D100
Senior Seminar in Population Health Research (3)
Class Number: 2201
Delivery Method: In Person
Scientific research in population health. Developing and evaluating research protocols, taking a general research question and turning it into an analysis plan, carrying out the analysis, and writing up the findings for presentation and publication.
Population health researchers are interested in data-driven evidence-based practices. This course will introduce students to research methods, analysis and reporting with emphasis on longitudinal and administrative data. Over the term, we will explore and learn longitudinal study and analysis in different contexts. Cases will be discussed with examples drawn from the literature and students will learn the longitudinal data as compared with cross-sectional data and administrative data as compared with alternative data sources. Students will learn statistical models and techniques for properly analyzing longitudinal data and interpret results from these analyses.
COURSE-LEVEL EDUCATIONAL GOALS:
The educational goals of this course are for using longitudinal data or administrative data, two very common data sources, for health research and interpret results from analyzing these data.
By fulfilling the course requirements students will be prepared to:
2. Learn about statistical models and techniques, including repeated measures ANOVA, mixed-effects models and marginal models, for analyzing longitudinal, or repeated measures, data.
3. Focus primarily on appreciation and application of the statistical methods using standard software SAS.
4. Models and methods will be illustrated using a set of real data examples in public health, medical and social sciences.
- Assignment 50%
- Mid-term 30%
- Class presentation 20%
Analysis of Longitudinal Data, 2nd ed. (2013) by Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger, Oxford Statistical Science Series.
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