Analysis
Statistical Analysis
Analysis plans, modelling, meta-analysis and reproducible outputs.
01
Overview
What this support looks like
Statistical support begins with a pre-specified plan, not with a request to "run some tests" on an existing dataset.
Every output is reproducible and every analytic decision is documented so reviewers can follow the reasoning.
02
Recognise This?
Signs you need this
"Reviewers rejected the paper on statistical grounds."
"I ran tests but I'm not sure they were the right ones."
"I need a meta-analysis with subgroup and sensitivity analyses."
Scope Clarity
What's included / not included
Included
- Statistical analysis plan (pre-specified)
- Descriptive and inferential analysis
- Regression modelling, survival analysis
- Meta-analysis, meta-regression, subgroup and sensitivity analyses
- Tables, figures, forest and funnel plots
- Results writing and interpretation support
Not included
- No selective reporting to reach a desired p-value.
- No re-running analyses until a significant result appears.
- No fabricated or imputed data beyond documented, defensible methods.
03
Process
How it works
- 01
Data & question review
Confirm what the data can support.
- 02
Plan
Pre-specified analysis plan agreed in writing.
- 03
Execution
Reproducible analysis with documented code.
- 04
Reporting
Tables, figures and results narrative.
Deliverables
Expected outputs
- Statistical analysis plan
- Analysis scripts/logs
- Tables and figures
- Results section draft
FAQ