Statistical Consultation Services
Sound methods. Clear results. Defensible conclusions.
Research projects often succeed or fail not at the idea stage, but at the analysis stage. Investigators invest substantial effort collecting data or developing a prototype, yet reviewers, journals, and partners ultimately judge the work based on whether the results are analyzed appropriately and explained clearly.
ScienceDocs provides statistical consultation to help researchers and innovative organizations reach valid, supportable conclusions from their data. We do more than run statistical tests — we help ensure studies are designed properly, analyzed appropriately, and presented in a way others can trust.
We support university researchers, medical investigators, SBIR/STTR startups, and small businesses that rely on evidence to secure funding, publish findings, or support technical claims.
When statistical problems appear
Statistical issues rarely come from weak science. More often they arise because statistical planning begins too late. Researchers commonly contact us after data collection has started or after reviewers raise concerns about feasibility, endpoints, or interpretation.
Typical challenges include:
uncertain power or feasibility in a proposal
unclear primary outcomes
datasets that do not fit standard model assumptions
results that are technically correct but difficult to explain
Our role is to stabilize the project — determining what conclusions remain supportable and how to present them honestly and defensibly.
Study design and analysis planning
The most valuable statistical consultation usually occurs before analysis begins. We help investigators determine whether their study can answer the intended question and whether reviewers will consider the conclusions credible.
This may involve power and sample size justification, endpoint definition, and development of a statistical analysis plan. For grant proposals, this section is often heavily scrutinized, and a clear justification can significantly influence funding decisions.
Data analysis and interpretation
When data already exist, we evaluate structure, assumptions, and missingness before selecting an analytic approach. The goal is not complexity, but correctness and transparency.
We commonly support group comparisons, regression-based modeling, repeated measures data, and time-to-event outcomes. Just as important, we help clients understand what the results actually mean and how they should — and should not — be interpreted.
Reporting and publication support
A frequent difficulty for investigators is translating statistical output into language reviewers can follow. Funding agencies and journals increasingly expect methods and results sections to be precise and reproducible.
ScienceDocs prepares clear tables, figures, and explanatory text aligned with proposal and manuscript expectations. For startups and small businesses, this often supports feasibility demonstrations and validation documentation.
What you receive
Depending on project needs, we may provide:
statistical analysis planning or power justification
clear figures and tables
interpretation summaries and limitations
manuscript or proposal-ready methods/results language
We can assist at the concept stage, mid-project, or after reviewer comments.
Get statistical support
If you have a grant deadline, IRB study, or manuscript revision approaching, we can help you identify a defensible path forward.
Request assistance HERE.