Question before technique
Methods are selected after the research decision, estimand, design, measurement, and data structure are explicit.
About StatsAlly
Statistical expertise built around transparent research decisions
StatsAlly supports researchers and organizations as they design, execute, validate, explain, and hand over quantitative work that others can review.
Purpose
Make the quality of the statistical thinking visible
Good consulting reduces avoidable confusion without hiding complexity. The goal is a coherent chain from research question to design, data, model, diagnostics, interpretation, and reproducible reporting.
Services are organized around real study stages and decision points rather than a generic catalogue of tests or software menus.
Question→Design→Model→Check→Explain
What guides the work
Six principles for defensible quantitative support
Design before output
A polished table cannot repair a mismatch between the question, sample, variables, and analysis plan.
Diagnostics before confidence
Assumptions, residual evidence, sensitivity, and validation matter before conclusions are stated strongly.
Reproducibility before polish
A traceable path from source data to reported result is more valuable than an output that cannot be rerun.
Limitations before certainty
Uncertainty, competing explanations, and unsupported claims stay visible rather than being edited away.
Researcher ownership
The researcher or organization remains responsible for the study, decisions, ethics, and final reporting.
Quality control is part of the scope
The quality model connects method fit, documented decisions, diagnostics, reproducibility, and handover. Complex work can include an agreed second-review step when suitable qualified review is available; it is not implied unless it is in the scope.
Checkpoint
Question
Evidence
Scope
What decision is being supported?
Responsibilities, inputs, exclusions
Method fit
Does the method match design and data?
Specification and alternatives
Validation
What could make the conclusion fail?
Diagnostics and sensitivity
Handover
Can the work be reviewed and continued?
Code, notes, limitations, outputs
Start with the quantitative decision
Share a non-confidential summary of the study, current evidence, and where the reasoning needs support.
Discuss your research