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Analysis and statistical reasoning

Biostatistics

Statistical consultation and analysis for clinical and medical research, from planning and sample size through modelling, interpretation and reporting.

Services

ServiceWhat you get
BiostatisticsStatistical consultation and analysis for clinical and medical research, with attention to clinical meaning, study design, assumptions, reproducibility and transparent interpretation.
Statistical analysisFocused analysis support for a project that already has, or will have, a dataset. The right analysis depends on the question, design, outcome, data structure and assumptions.

Frequently asked questions

Can you help before data collection?

Yes, and early input is usually worth more than late-stage analysis. It shapes outcome definitions, sample-size requirements and the analysis plan while they can still be changed.

Do you provide analysis code?

Where applicable, analyses can be delivered with documented R or Stata code so the workflow can be inspected and rerun.

Related reading

  1. 01Propensity scores: matching, weighting and what they cannot fixA propensity score balances the variables you measured. It does nothing about the ones you did not, which in observational research are usually the ones that mattered.
  2. 02Survival analysis: Kaplan-Meier, Cox regression and competing risksTime-to-event methods exist because censoring is information. The commonest errors come from forgetting that, or from ignoring the events that make the event of interest impossible.
  3. 03Missing data: complete-case analysis, imputation and what each assumesEvery method for handling missing data makes an assumption about why it is missing. The assumption is usually untestable, which is exactly why it has to be stated.

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