Biostatistics consulting services

Health data carry problems that general statistics rarely meet head on. Outcomes are often the time until an event, such as relapse or death, with patients who leave the study before it happens, which is why survival and time-to-event analysis sits at the centre of clinical work. Exposures and risks have to be separated from confounding in observational data, and missing data in a trial cannot simply be dropped without biasing the result. We bring the methods that handle these properly, rather than forcing a clinical question into a textbook test.

Design is where the gains are largest. A trial that is underpowered, or an epidemiological study that cannot control its confounders, fails before a single analysis is run. We set the study design, the primary endpoint, and the sample size so the study can answer its question and satisfy a reviewer or a regulator. For general design and analysis outside the health sciences, our broader statistical consulting service is the right starting point.

1. 1

   Clinical and epidemiological design

   We design trials and observational studies, set the primary endpoint, and calculate the sample size and power for the effect you need to detect.

2. 2

   Survival and outcome modelling

   We run survival and time-to-event analysis, logistic and Poisson regression, and mixed models for repeated measures on your health outcomes.

3. 3

   Confounding and missing data

   We adjust for confounding, choose a principled approach to missing data, and check the assumptions behind every model before we report it.

4. 4

   Regulatory-grade reporting

   We write the statistical methods and results to the standard your journal or regulator expects and supply the script so the analysis is reproducible.

You receive the analysis, the clinical figures and tables, and a statistical report written to the reporting standard your study type and submission require, each with the script so the work can be rerun and audited. Where your project pools evidence across health studies, our meta-analysis services run the quantitative synthesis, and the systematic review statistics page covers pooling and heterogeneity inside a review. If you are new to combining clinical results, our guide on how to do a meta-analysis walks through the steps, and our free effect size converter turns the statistics you have into a common scale.

• A study design and sample-size calculation built around your endpoint
• Survival, regression, or mixed-model analysis of your health outcomes
• A principled approach to confounding and missing data
• Clinical tables and figures ready for your manuscript
• A statistical report written to your journal or regulatory standard
• The analysis script so the work can be rerun and audited

We quote a fixed fee shaped by the study design, the analyses your endpoints require, whether the work includes survival or longitudinal modelling, and whether reporting must meet a regulatory standard. Tell us your design and your outcomes and we will return a fixed quote for the biostatistics.