Who This Is For

• Tenured or research-intensive faculty leading labs, centers, or multi-investigator projects.

• PIs on complex grants (R01/U01/center grants; PCORI; foundation awards).

• Scholars with high data complexity (longitudinal, hierarchical, multi-omics, EHR, or linkage data).

• Authors targeting elite journals seeking precise, defensible analyses and narratives.

What We Deliver (at a glance)

• Study design & protocol architecture (power, endpoints, biases, analytic plans).

• Advanced statistical modeling (mixed effects, causal inference, survival, Bayesian, ML).

• Data strategy (EHR/registry curation, missing data, harmonization).

• Publication-ready artifacts (tables/figures, methods text, reviewer-response strategy).

• Grant-ready packages (aims alignment, statistical sections, mock results).

• Reproducible workflows (versioned code, pipelines, and documentation).

Core Services (with icons)

Study Design & Protocol Development (icons: fa-bullseye, lucide: target)

• Hypothesis refinement; primary/secondary endpoints; estimands.

• Sample size & power (parallel, cluster, stepped-wedge, adaptive).

• Randomization schemes; stratification; covariate-adaptive methods.

• Bias & confounding mitigation plans; sensitivity frameworks.

• Full SAP (Statistical Analysis Plan) synced to CONSORT/STROBE/PRISMA as appropriate.

Data Architecture & Curation (fa-database, lucide: database)

• EHR/registry extraction maps; CDM harmonization (OMOP/PCORnet).

• Data dictionaries; codebooks; derivation logic; version control.

• Missing data strategy (multiple imputation, IPCW, sensitivity).

• Quality checks (range, logic, outlier forensics, duplicate resolution).

Advanced Analytics (fa-chart-line, lucide: line-chart)

• Causal inference: IPTW/AIPW, MSMs, g-methods, propensity score matching/weighting.

• Longitudinal & multilevel: mixed effects, GEE, random slopes, growth curves.

• Time-to-event: Cox, competing risks (Fine–Gray), recurrent events, joint models.

• Bayesian analysis: hierarchical models, priors elicitation, posterior predictive checks.

• Machine learning: regularization (LASSO/elastic-net), tree ensembles, survival ML, SHAP.

• Meta-analysis: pairwise & network meta-analysis, heterogeneity & publication bias.

• Diagnostic rigor: assumptions, residuals, robustness, falsification endpoints.

Result Interpretation & Decision Support (fa-compass, lucide: compass)

• Effect translation into clinical/public-health relevance.

• Subgroup & interaction narratives (pre-specification vs. exploration).

• What-if scenarios and policy/clinical implications.

• Graphical explanations for stakeholders and reviewers.

Publication & Reviewer Strategy (fa-newspaper, lucide: file-text)

• Methods & results drafting aligned with journal scope & reporting standards.

• High-impact tables/figures: CONSORT, flow diagrams, forest plots, Kaplan–Meier, DAGs.

• Response to reviewers: point-by-point strategy, added analyses, clarity edits.

Grant Support for Advanced Projects (fa-file-signature, lucide: file-signature)

• Aims alignment with a coherent program of research.

• Statistical & data sections; feasibility mockups; pilot analyses.

• Milestones, timeline/Gantt, data-sharing & rigor/reproducibility language.

• Letters on analytic capacity and data governance.

Reproducible Science & Compliance (fa-code-branch, lucide: workflow)

• Versioned repos; workflow automation (R/Quarto, Python, targets/drake, Snakemake).

• Reproducible reports with parameterized notebooks.

• IRB, HIPAA/PHI safeguards; de-identification pipelines; audit trails.

Our Collaboration Model

1.  Scoping & Feasibility (no-pressure consult): We clarify aims, data realities, and target journals/grants; propose a fit-for-purpose plan.
2.  Analysis Blueprint:  You receive a concise Analysis Blueprint: data plan, models, robustness checks, sample outputs, and delivery schedule.
3.  Execution & Check-ins: Work proceeds in sprints with milestone reviews. You see interim outputs and can request pivots.
4. Delivery Package : Clean outputs, publication-ready figures/tables. Annotated code and reproducible notebooks. Methods, language blocks, and limitations/assumptions notes. 
5. Submission & Reviewer Support: Rapid add-on analyses, supplemental figures, and response-to-reviewer drafting.

Signature Deliverables (examples)

• Power & design dossier (PDF + editable text)

• Statistical Analysis Plan (SAP) aligned to your protocol

• Validated dataset + data dictionary + derivation specs

• Analysis notebooks (R/Python) + executable environment files

• Publication-ready figures (vector: SVG/EPS; bitmap: PNG/TIFF @300–600 dpi)

• Methods/results language tailored to target journal

• Reviewer response matrix with tracked revisions

Engagement Options

• Expert Consult Blocks (fa-user-tie, lucide: user-cog)
• Reserved hours for senior-level consultation, design decisions, and analytic arbitration.
• Project Sprint (fa-rocket, lucide: rocket)
• 2–6 week sprint for a specific manuscript, aim, or grant section with defined milestones.
• Lab Partnership (fa-flask, lucide: beaker)
• Quarterly partnership for labs/centers—pipeline monitoring, junior-faculty mentoring, standing code reviews.

Quality & Rigor You Can Count On

• Transparent assumptions and pre-specified sensitivity analyses.

• Reproducibility by default (versioned code, deterministic seeds, environment capture).

• Plain-language translation for clinical/administrative audiences.

• Security: encrypted transfer, least-privilege access, PHI safeguards.

FAQs (quick hits)

Can you work with secure institutional environments?
Yes—VPN, VDI, VPC, and on-prem compute; we comply with institutional policies and IRB constraints.

Do you ghostwrite manuscripts?
We prepare methods/results text and figures; authorship follows ICMJE/discipline norms you specify.

Will you run my team’s code?
Yes. We can audit, optimize, or containerize existing pipelines with explicit change logs.

Callouts You Can Use on the Page

• “Complex designs, clean decisions.”

• “From raw EHR to reviewer-ready figures.”

• “Rigor you can cite—and reproduce.”

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