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Working with Hierarchically Structured Data


Working with Hierarchically Structured Data

Thu. Jun 11, 2020 12:00pm - 1:30pm

Location: Zoom:

The Office for Science and Innovation (OSI) is pleased to announce that Dr. Nancy Perrin, Director of the Biostatistics and Methods Core in the OSI, will be leading a workshop focused on Working with Hierarchically Structured Data.

Hierarchically structured data can come in many forms. Most common is repeated measures over time where time is nested within people.  However, when examining patients nested within clinics or students nested with schools the data is also hierarchical.  These data violate the assumption of independence of observations as patients/students within a clinic/school will be more similar than between clinics/schools.  There are a variety of analytical approaches when working with nested data.  This seminar will examine different approaches including multilevel modeling, random effects regression and general estimating equations to help participants select the analytical strategy to best answer their research question.

Dr. Perrin’s areas of expertise include longitudinal study design and analysis, clustered data, psychometrics, and handling messy data that comes along with doing research in real world settings. She is a methodologist and biostatistician with extensive experience in study design and analysis. She has been co-investigator on over 30 federally funded studies in healthcare, community, and international settings using both clinical trials and observational designs.

 This workshop will be recorded and livestreamed via Zoom:

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Office for Science and Innovation (OSI)

Johns Hopkins University School of Nursing

525 North Wolfe Street, Room #331, Baltimore, MD 21205

Phone: (410) 614-7005
Ethenia Whye