The methods section is where review panels decide your score
Review panels forgive an unpolished significance narrative; they do not forgive an underpowered design, a vague analysis plan, or sampling that cannot answer the aims. Weak grant methodology is one of the most common reasons applications are scored poorly or triaged, which is why the methods and analysis plan pages repay specialist attention more than any other part of the proposal.
At Research Gold, our grant methodology writing service provides researchers with expert support in writing the methodological components of NIH (R01, R21, K-awards), NIHR (HTA, PHR, PGfAR), ARC, and institutional grant proposals across health sciences, nursing, psychology, education, social sciences, and beyond. Every project is matched with a PhD methodologist who has held or reviewed funding in your field, so your research design reads the way a review panel expects, aligned to the review criteria of your target program. Our team includes PhD methodologists and biostatisticians who understand what review panels look for and how to present your research design with precision and clarity.
What We Write
Methodology Sections
We draft the study design, data collection procedures, and analytical methods sections of your grant proposal, and where relevant we cover the full methodological arc: research strategy, aims and hypotheses, study design, sample size and power justification, analysis plan, rigor and reproducibility, and preliminary data framing. This includes:
- Research design and justification
- Study population and sampling strategy
- Inclusion and exclusion criteria
- Intervention and comparator descriptions (for clinical studies)
- Outcome measures (primary and secondary)
- Data collection instruments and procedures
- Quality assurance procedures
Proposed studies are described against the reporting standard reviewers will apply at the completed-study stage: CONSORT for proposed randomized trials (Schulz et al., BMJ, 2010) and STROBE for proposed observational studies (von Elm et al., 2007).
Statistical Analysis Plans
Our biostatisticians draft comprehensive statistical analysis plans covering:
- Primary and secondary analysis methods
- Sample size calculation with full justification
- Power analysis (typically 80% or 90% power)
- Handling of missing data
- Sensitivity analyses
- Interim analyses (if applicable)
- Multiple testing corrections
- Software specification (R, Stata, SAS, SPSS)
Each plan is written to satisfy the rigor and reproducibility expectations set out in the NIH Rigor and Reproducibility guidance for grant applications (National Institutes of Health, 2016), with the depth of sample size and power justification calibrated to the review criteria, depending on the funder.
For preliminary estimates, try our free our power analysis calculator and our sample size calculator.
Evidence Synthesis Methodology
For grant proposals that include a systematic review or meta-analysis component, we write the full evidence synthesis methodology section, including:
- Search strategy description and database selection
- Study selection criteria
- Risk of bias assessment approach
- Data extraction procedures
- Synthesis methods (narrative and/or quantitative)
- PRISMA-P protocol compliance
Where a proposal presents preliminary evidence synthesis, we report it against the PRISMA 2020 Statement for preliminary evidence synthesis (Page et al., BMJ, 2021). This pairs directly with our systematic review support if you need the actual review conducted alongside the grant, and connects to our managed statistical analysis when the proposal calls for pooled estimates.
Protocol Development
We develop full protocols following PRISMA-P guidelines for systematic review grants. Protocols can be registered with PROSPERO (the international prospective register of systematic reviews). Use our free PROSPERO registration formatter and PICO framework builder.
