Research that survives peer review.

Reliability is a process, not a claim. On every project we work to a standard covering eight core checks: high-quality validated data; a study design and sample size appropriate to the question; a statistical analysis matched to the design and variable types; formal testing of model assumptions; sensitivity and robustness analyses; appropriate handling of missing data; independent verification of the analysis by a second statistician; and full reproducibility from raw data to final table. Where the study calls for it we also address confounding, effect estimation with confidence intervals, multiplicity, risk of bias and consistency with prior evidence. The full standard is published here.

Three things. First, a highly qualified and research-active team — every ClinStat team member has at least 50 scientific publications and an h-index of 5 or higher, which means sustained experience in methodology, scientific writing, peer review and publishing, not just clinical practice. Second, an extensive and proven track record — more than 1,000 researchers and clients supported across more than 5,000 research projects, spanning many specialties, designs and stages. Third, real quality-control infrastructure — a structured workflow with data-quality checks, appropriate methodology, independent review of analyses and reproducible practices applied before anything is delivered.

Most desk rejections come from a small, avoidable set of problems: the paper is out of scope for the journal, statistical reporting is incomplete (effect sizes without confidence intervals, missing-data handling not described, methods that do not match the results), ethics approval and consent statements are missing or vague, the relevant reporting guideline was not followed, or authorship and conflict declarations are unclear. All of them are fixable in a single structured review before submission. Our 12-point checklist is the list we run internally.

Cost depends on the design, the size and state of the dataset, the methods required and the timeline. We quote per project after the initial consultation, so you know the scope and the price before anything begins. We do not quote before understanding the project, because a quote given without seeing the data is a guess that gets revised later.

Yes. We work with researchers and institutions worldwide and operate remotely. Communication is in English or Arabic, over WhatsApp, email and video calls, scheduled around your time zone.

No. We will make sure the analysis is correct, the assumptions hold, the effect estimate is precise as the data allow, and the reporting is complete. If the result is null, we help you publish a well-conducted null study — which is publishable, useful, and increasingly valued. We do not run analyses until something reaches p < 0.05.