Aaron Del Re, PhD – Independent Statistician
I am an independent statistician with a PhD in Counseling Psychology and a quantitative background spanning federal research (VHA, DoD) to independent stats consulting. My academic and research background is broad, encompassing meta-analysis methodology, longitudinal health services research, epidemiology, and psychotherapy research (my full publication history is available on my CV here: https://acdelre.github.io/CV).
In my consulting and technical work, I provide a wide range of services, including advanced statistical modeling (eg, longitudinal linear mixed models [LLMM]), Real-World Evidence (RWE) analyses, and other data analysis. I also develop automated and reproducible R and Quarto pipelines to eliminates manual data-entry errors (and saving many RA manual hrs), generating dynamic, audit-ready reports and complex visualizations for clinical and research data.
In addition, I build interactive statistical apps. Some recent projects include:
- Probability of Success Index (PSI): I wrote the R function API for the PSI. It processes session-by-session ORS and SRS scores to calculate a client’s probability of treatment success. Manuscript in progress.
- The Empirical Predictive Dashboard (https://acdelre.github.io/empirical-predictive-engines/): An agnostic and zero-latency interactive app built on LLMMs. It allows organizations/labs to input specific user/patient profiles (e.g., a 31-year-old female using a product 3 times a week at a 5mg dose) to predict outcomes when using the product/tmt versus when not. The dashboard features high-quality visualizations of non-linear changes over time and interactive dose-response curves. Can be adapted, eg, to visualize a lab’s own clinical trial or RWE data for grant reporting or stakeholder presentations.
- PQM App (https://pqm-two.vercel.app/): Based on the Practice Quality-Mindfulness scale (Del Re et al., 2013). It tracks PQM, mood changes, practice type and time, providing high-quality longitudinal visualizations and interactive heat calendars. The platform is designed for individual practitioners and mindfulness groups while featuring a robust backend setup for clinical research data collection.
- Compute.es Web App (https://acdelre.github.io/apps/compute_es/): Based on my CRAN package, it provides a visually appealing “point-and-click” interface designed for calculating effect sizes (\(d\), \(g\), \(r\), \(OR\)), particularly when the typical data needed is not reported.
- Veloz App (https://acdelre.github.io/veloz/index.html): A language learning progressive web application (PWA) designed for rapid language acquisition. It includes multiple science-based learning modes utilizing latency reduction (“Shadow Sprint” protocols) and features a detailed statistical tracking section to monitor acquisition metrics over time.
- Interactive Slang Explorer (https://acdelre.github.io/veloz/explorer.html): A highly visual linguistic dashboard featuring interactive heat maps and etymological origins of Mexican slang based on geographic regions, designed to map and analyze authentic conversational Spanish.
If any research teams, academic PIs, or clinical organizations are looking for an independent statistician to assist with advanced modeling, automated data reports, or custom statistical applications, my full portfolio, CV, and contact information can be found at acdelre.github.io.
Aaron Del Re, PhD stats@acdelre.com acdelre.github.io