Grant Application Statistics: Methods & Power Analysis

I will develop the complete statistical methodology section for your grant application — covering study design rationale, primary and secondary outcome statistical analysis plan, sample size and power calculation with literature-based effect size justification, missing data handling strategy, multiplicity plan, statistical software justification, feasibility evidence from pilot data if available, and a written methods section meeting the rigour expected by major funding bodies (NIHR, Wellcome, MRC, NIH, or equivalent). Grant applications that are rejected for statistical methodology weaknesses — inadequate power calculation, vague analysis plan, or missing data strategy — are entirely preventable with proper statistical input at the application stage.

The deliverable covers a formal power analysis with sensitivity analysis, SAP outline for primary and secondary endpoints, randomisation and allocation concealment description if applicable, missing data approach, planned software and analytical team description, and a written statistical methods section at the level of detail required by your funder's application form.

Designed for academic researchers, clinical trialists, and research teams applying for competitive research funding who need their statistical methodology to withstand expert peer review scrutiny.