Support can start with a focused analysis, extend over a few months, or continue through a research partnership. These examples draw on DASS consulting and our team's earlier university roles.
Public-data examples showing how we check an analysis and define the conclusions its evidence can support.
Independent Python/R calculations and missing-data sensitivity in the Beating the Blues teaching release. Includes a results figure and reproducibility download.
The release contains a subset of the cited trial; this is not a verified replication of the original publication.
Read the methods case study →A defined question, a specific contribution and a useful deliverable. Read each case for the approach, findings and evidence limits.
Question: How do enrollment changes affect district finances?
Contribution: Fiscal analysis using school-aid, enrollment and budget data.
Deliverable: A public report with district comparisons and explicit assumptions.
Read the case study →Question: Does a translated questionnaire fit its intended population?
Contribution: Analysis planning, factor analysis, reliability and validity checks.
Deliverable: Published evidence on a 21-item measure and how its scores can be interpreted.
Read the case study →Question: Can a questionnaire reveal distinct gaps in LGBTQ+ clinical competency?
Contribution: Lead contributions in methodology and formal analysis.
Deliverable: Evidence for four factors and their relationships with training and guidelines.
Read the case study →Question: Can existing national data provide useful estimates for Indiana?
Contribution: Spatial microsimulation combining national survey and Census/ACS data.
Deliverable: Indiana-specific estimates documented in a public report.
Read the case study →Question: How did people without lawyers experience remote versus in-person court?
Contribution: Court-case data preparation, management, analysis and interpretation.
Deliverable: A report comparing experiences, access barriers and outcomes.
Read the case study →For larger research programs that need statistical support across study design, data management, analysis and reporting. These examples show our team's roles in trials, longitudinal studies and continuing outcomes reporting. Funding figures describe total project awards, not DASS consulting fees.
Statistical support on a multi-site randomized controlled trial testing whether a belonging intervention improves STEM outcomes for women and underrepresented students.
Built and managed data infrastructure to support statistical analysis and reporting for a large intervention study.
Automated outcomes reporting for VALOR-QI, a VA and American Heart Association program across 50 VA medical centers. The 2026 JACC: Advances paper analyzed 88,778 veterans, including 24,610 with 24-month LDL-C measurements.
Co-Principal Investigator on a federal trial helping educators plan, implement, and maintain evidence-based interventions in real classrooms.
View the IES award →Research statistician on a five-year, two-site randomized controlled trial evaluating neurodiversity-affirming professional development for 150 K–2 teachers and their autistic students.
View the IES award →Longitudinal analysis and data management for a national R&D center evaluating how states measure school performance for students with disabilities.
Tell us about your project and we’ll help identify the right next step.
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