Statistical consulting

Discuss your statistical question

Independent statistical support for researchers, clinical teams and organisations — from a design question you want a second opinion on, through to a full analysis and write-up.

This work is undertaken independently and in a personal capacity, outside my employment, and is not provided through or endorsed by CSL. Availability varies, so I will always tell you honestly if I cannot take something on.

Support

How I can help

Study design

Choosing a design that answers the question you actually have — including randomisation, endpoints and estimands.

Sample size and power

Defensible sample size calculations, with assumptions written down plainly and sensitivity to them shown.

Analysis plans

Pre-specified statistical analysis plans, from primary estimand through to sensitivity and subgroup analyses.

Analysis and modelling

Regression, longitudinal and survival models, missing data handling, and multiplicity considerations.

Data visualisation

Figures that carry the argument, built for manuscripts, reports and presentations.

R and Quarto workflows

Reproducible pipelines and reports, so an analysis can be re-run and checked months later.

Communicating results

Turning output into wording that reviewers, clinicians and non-statistical readers can trust.

Process

Three simple steps

  1. Tell me about it

    Send a short, high-level summary using the form below. No confidential data needed.

  2. Initial review

    I read it and come back with first thoughts, clarifying questions, and whether I am the right fit.

  3. Next steps

    If it makes sense, we agree scope, timing and cost before any work starts.

Request

Send a consulting request

The more context you can give at a high level, the more useful my first reply will be.

Please keep this to a high-level description. Do not submit participant-level data, health information, or anything else confidential through this form.

A couple of sentences is plenty.

Where would help be useful? *

Select as many as apply.

For example: 240 participants, 12 variables.