Service
Biostatistics & data analysis
Statistical analysis is not a service you buy at the end of a project. It is the part of the project that decides whether the conclusion is true.
A biostatistics service selects and runs the analysis that matches your research question and study design, verifies that the assumptions behind that analysis hold in your data, quantifies effects with confidence intervals rather than p-values alone, tests whether the conclusion survives reasonable alternative specifications, and produces the tables, figures and methods text a journal will accept. At ClinStat the analysis is then independently reproduced by a second statistician before it is delivered.
What this service includes
- Analysis plan first
- A written statistical analysis plan tied to your research question, primary and secondary outcomes, and the design you actually used — agreed before any modelling begins.
- Descriptive and comparative analysis
- Cohort characterisation, appropriate parametric and non-parametric comparisons, and correct handling of paired, clustered and repeated measurements.
- Regression modelling
- Linear, logistic, ordinal, multinomial, Poisson, negative-binomial and Cox models, with confounder selection driven by clinical reasoning and causal structure rather than univariate p-values.
- Assumption testing
- Normality, homoscedasticity, independence, linearity, multicollinearity, proportional hazards and proportional odds — checked, reported, and addressed with robust alternatives when violated.
- Advanced methods
- Propensity scores and IPTW, mixed models and GEE, competing risks, splines, multiple imputation, Bayesian models and prediction modelling where the question requires them.
- Publication-ready output
- Formatted Table 1, results tables, and figures built to journal specification, plus a statistical methods paragraph that matches exactly what was run.
- Independent verification
- A second statistician reproduces the primary results from the cleaned dataset before anything is delivered.
- Reviewer support
- Additional analyses, re-analyses and point-by-point statistical responses when reviewers come back.
What you receive
- Statistical analysis plan
- Complete statistical output with annotated code
- Publication-ready tables and figures
- Methods and results text for the manuscript
- Sensitivity and robustness analyses
- Reproducible analysis scripts (R, Stata, SPSS or Python)
Independently verified before it reaches you
Every primary result is reproduced from the cleaned dataset by a second statistician before delivery, and you receive the analysis scripts so any number in the manuscript can be traced back to a line of code and a row of data.
Common questions
Related
Often needed alongside this.
Study design & protocol development
The cheapest place to fix a study is before the first patient is enrolled. Design, sample size and analysis plan, agreed in advance.
ExploreData management & validation
Before any analysis: duplicates, impossible values, inconsistent coding, eligibility errors and missingness patterns found and resolved — with a full audit trail.
ExploreManuscript & publication support
Writing, scientific editing, reporting-guideline compliance, journal selection, submission and point-by-point reviewer responses.
ExploreTell us about your project.
Book a free 15-minute consultation. Tell us the research question, the data you have, and the deadline — we will tell you honestly what is achievable.
Or call +20 100 163 8864 · Sunday–Thursday, 09:00–18:00 (GMT+2, Cairo)