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Data Analytics Core

The Analytics Core provides expertise on quantitative and qualitative research design and analytic methods to support affiliated faculty, cores, and pilot projects, while developing new methods for determining older adults’ health status to better inform clinical decision making.

Analytics Core Team

Leah Welty, PhD

Leah Welty, PhD

Director

Director, Biostatistics Collaboration Center
Professor of Preventive Medicine (Biostatistics) and Psychiatry and Behavioral Sciences

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Kenzie Cameron, PhD, MPH

Kenzie Cameron, PhD, MPH

Co-Director

Director, NUCATS Mentoring Programs
Research Professor of Medicine, Medical Education, Medical Social Sciences, and Preventive Medicine

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Mary Kwasny, ScD

Mary Kwasny, ScD

DP Director

Professor of Preventive Medicine (Biostatistics)
Director, CAHRA Measurement & Analysis Program, CAHRA

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Laura Curtis, MS

Laura Curtis, MS

DP Director

Research Assistant Professor of Medicine
Director, CAHRA Cognitive Aging Program

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Eleanor Small

Eleanor Small

Resource Core Manager

Research Project Coordinator, CAHRA

eleanor-small( at )northwestern.edu

312-503-2497

Assistance from the Analytics Core - General Support

The Data Analytics Core is intended primarily as a resource for affiliated faculty and programs. If you would like assistance from the Analytics Core:

Submit Your Request

Assistance from the Analytics Core - Vouchers Program

For those outside the Pepper Scholars program, we are offering statistical analysis support for projects that contribute to the advancement of aging-related research via a competitive voucher program. We will review applications on a monthly basis for voucher awards of up to $2500 (up to 20 hours of statistical analyst time for programming or database design) to successful applicants.

Learn More about Eligibility and How to Apply

Development Projects

The Analytics Core will lead two Developmental Projects (DPs) to investigate and design novel statistical methods geared to incorporate multiple data types and reconcile incomplete, missing, or discordant information. A 'Primary Care Complexity Index' (PCCI) will also be devised to quantify an overall level of patient complexity from a primary care perspective to inform clinical decision making and as a research tool to account for MCC.

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