For healthcare & clinical research

Your outcomes data needs to hold up in a clinic, not just a spreadsheet.
We've built that pipeline before.

Outcomes analysis, longitudinal modeling, and study design for clinical and population health data, from a team with hands-on experience in multi-site health-system research.

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Sound familiar?

What you get

Our team's health research experience

Our team has experience building electronic-health-record cohorts, using computable phenotypes developed with clinical researchers, for studies of lymphedema, lipedema and GLP-1 medications. The same longitudinal and multilevel methods carry over to other clinical and population-health data.

Healthcare · VA quality improvement

Cardiovascular outcomes for U.S. veterans

Published · JACC: Advances, 2026

Automated outcomes reporting for VALOR-QI, a VA and American Heart Association program to improve cholesterol care for veterans with cardiovascular disease across 50 VA medical centers. Its 24-month results for 88,778 veterans were published in JACC: Advances (2026).

$15M+
In funded research we've helped design and analyze
3,000+
Citations across our team's published research
15+ yrs
Applied statistics — from RCTs to psychometrics
50+
Consulting projects across education, health, and industry
Methods we work in
Multilevel models Structural equation modeling Bayesian methods IRT & psychometrics Randomized controlled trials Power analysis R & reproducible code
“
DASS did a fantastic job. They were patient, clear about the coding, and very responsive to my emails. They took the time to understand the overall goal before proceeding with each step. Highly recommend.
Research Client
Statistical coding & analysis
“
I recruited Nedim for his analytical skills and research abilities. He brought very strong quantitative research skills and the interpersonal ability to work effectively with a wide range of people from diverse backgrounds. He excelled at ferreting out and interpreting information from multiple sources. My highest recommendation.
Faculty Colleague
Research & Evaluation Team, Arizona State University

Got clinical or population-health data to make sense of?

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