Study design & analysis plans
Endpoints, estimands, power, bias controls, sensitivity frameworks, and a Statistical Analysis Plan aligned to the protocol.
Research Support
Advanced Research Assistance for Established Scholars
From Study Design to Data-Driven Insights
- Precision design
- Credible analytics
- Publication-ready results
Methodology and statistics that hold up under expert scrutiny.
Study design, advanced modeling, reproducible workflows, and publication support for faculty, principal investigators, and research teams.
The Challenge
Complex studies need more than technically correct output.
High-stakes research can stall when the question, design, data structure, and statistical model do not line up. Reviewers notice weak estimands, underpowered comparisons, opaque code, and claims that outrun the evidence.
We help align the protocol, data, analysis plan, and reporting so every analytic decision can be explained, defended, and reproduced.
What We Offer
Senior-level support across the research lifecycle.
A focused set of services for complex designs, demanding datasets, and review environments where methodological detail matters.
Advanced statistical modeling
Mixed effects, mediation, moderation, SEM, survival, Bayesian, causal inference, latent class, and selected machine-learning methods.
Data architecture & curation
EHR or registry extraction maps, harmonization, dictionaries, derivation logic, missing-data strategy, and quality checks.
Interpretation & decision support
Effect translation, subgroup and interaction narratives, robustness checks, and clear explanations for reviewers and stakeholders.
Publication, reviewer & grant strategy
Methods and results language, publication-ready visuals, response-to-reviewer planning, and grant-ready analytic sections.
Reproducible research workflows
Versioned code, annotated notebooks, environment capture, documented assumptions, and repeatable reporting pipelines.
Who This Is For
Built for research that must survive expert scrutiny.
The service is most useful when a project carries methodological, regulatory, or publication complexity beyond routine analysis.
- Faculty and principal investigators leading complex or multi-investigator studies
- Research teams working with longitudinal, hierarchical, EHR, registry, or linked data
- Authors preparing manuscripts for rigorous peer review
- Grant teams needing defensible power, analysis, and reproducibility plans
How It Works
A clear path from research question to defensible result.
Consultation & feasibility
We review aims, data realities, institutional constraints, timelines, and the target journal or grant.
Free 30-minute scoping callAnalysis blueprint
You receive a concise plan covering data preparation, models, robustness checks, sample outputs, and milestones.
Written planExecution & review
Work proceeds in defined milestones with interim outputs, documented decisions, and scheduled expert review.
Transparent checkpointsDelivery & follow-through
You receive clean outputs, annotated code, publication materials, and support for revisions or reviewer questions.
Reproducible handoffDeliverables
Concrete artifacts your team can use and defend.
Study design & power dossier
Editable rationale for endpoints, sample size, design assumptions, and sensitivity scenarios.
Statistical Analysis Plan
A protocol-aligned specification of variables, models, diagnostics, and decision rules.
Validated data & documentation
Analysis-ready data, dictionary, derivation specifications, and quality-control record as scoped.
Annotated code & reproducible notebooks
R, Python, Mplus, Stata, or SPSS materials selected to fit the design and institutional environment.
Publication-ready tables, figures & language
High-quality outputs plus methods, results, assumptions, and limitations text tailored to the target outlet.
Reviewer or resubmission support
A response matrix, supplemental analysis plan, and tracked updates for revision cycles when included in scope.
Frequently Asked
Questions about Advanced Research Assistance
Can you work inside secure institutional environments?
Yes. Work can be adapted to institution-approved VPN, VDI, VPC, or on-premises environments, subject to the applicable IRB, data-use, and security requirements.
Which statistical software do you use?
R, Mplus, Stata, SPSS, and Python are common. The choice depends on the design, required methods, your institution's licenses, and the format your team must maintain after handoff.
Can you audit or extend our existing code?
Yes. Existing pipelines can be reviewed, documented, optimized, or containerized with an explicit change log and reproducibility checks.
Do you write manuscripts for clients?
We prepare methods and results language, tables, figures, and reviewer-response materials. Authorship and attribution remain governed by the journal, discipline, and institutional standards that apply to your team.
Ready to pressure-test your study?
Schedule a free consultation and leave with a practical next-step plan for your design, data, or analysis.
Request a Free Consultation →30-minute scoping call · Confidential · No commitment