StatsAlly

StatsAlly is a London-based statistical consulting and quantitative research practice supporting academic, institutional, and corporate studies in the UK, US, and internationally.

We help faculty members, researchers, doctoral and master’s students, research teams, and professionals turn quantitative questions and organizational data into analyses that are appropriate, transparent, reproducible, and clearly communicated.

Support is available for one analytical task or several project stages. Services include methodology and research-design review; research questions, hypotheses, and analysis planning; power analysis and sample-size determination; data preparation and quality assessment; statistical analysis; machine-learning modeling; diagnostics and model validation; sensitivity analysis; interpretation; visualization; reproducible code; and reporting.

Projects may include dissertations, theses, journal articles, protocols, institutional studies, evaluations, and corporate research reports. Methods and software are selected for the research problem and may involve R, Python, SPSS, SAS, Stata, AMOS, SmartPLS, Minitab, and other suitable technologies.

StatsAlly is led by founder and statistical consultant Moein Heidari. When a project requires specialist input, suitably qualified analysts may contribute to methodology, programming, validation, or quality review, with responsibilities agreed according to scope.

As AI makes basic explanations and code easier to generate, StatsAlly focuses on decisions that still require careful human judgment: defining the analytical question, selecting defensible methods, identifying failure modes, validating AI-assisted work, documenting uncertainty, and ensuring conclusions remain supported by the evidence.

Every engagement emphasizes clear scope, explicit assumptions, reproducibility, confidentiality, and honest communication of limitations.