clinical-trial

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Designs and analyzes clinical trials including sample size calculation, randomization schemes, endpoint selection, CONSORT reporting, and interim analysis planning; trigger when users ask about RCTs, Phase I-IV trials, or clinical study design.

beita6969 By beita6969 schedule Updated 3/12/2026

name: clinical-trial description: Designs and analyzes clinical trials including sample size calculation, randomization schemes, endpoint selection, CONSORT reporting, and interim analysis planning; trigger when users ask about RCTs, Phase I-IV trials, or clinical study design.

When to Trigger

Activate this skill when the user mentions:

  • Clinical trial design, RCT, randomized controlled trial
  • Sample size calculation, power analysis for trials
  • CONSORT, STROBE, SPIRIT guidelines
  • Phase I, II, III, IV trials
  • Primary/secondary endpoints, composite endpoints
  • Interim analysis, adaptive trial design, futility
  • Blinding, randomization, allocation concealment
  • Intention-to-treat (ITT), per-protocol analysis

Step-by-Step Methodology

  1. Define the research question - Specify PICO (Population, Intervention, Comparator, Outcome). Determine if superiority, non-inferiority, or equivalence design is appropriate.
  2. Select trial phase and design - Choose phase (I: safety/dose, II: efficacy signal, III: confirmatory, IV: post-market). Consider parallel, crossover, factorial, or adaptive designs.
  3. Primary endpoint selection - Define primary outcome (must be clinically meaningful). Specify measurement timing and minimal clinically important difference (MCID).
  4. Sample size calculation - Specify alpha (typically 0.05, two-sided), power (typically 80-90%), expected effect size, and dropout rate. Use appropriate formula for the endpoint type (continuous, binary, time-to-event).
  5. Randomization and blinding - Recommend randomization method (simple, block, stratified, minimization). Specify blinding level (open-label, single, double, triple).
  6. Statistical analysis plan - Pre-specify primary analysis method (t-test, chi-square, log-rank, mixed models). Define interim analysis schedule with alpha-spending function (O'Brien-Fleming, Lan-DeMets).
  7. Reporting - Follow CONSORT for RCTs, STROBE for observational, SPIRIT for protocols. Include flow diagram, enrollment numbers, and all pre-specified analyses.

Key Databases and Tools

  • ClinicalTrials.gov - Trial registration and results
  • Cochrane Library - Systematic reviews of trials
  • FDA / EMA guidance documents - Regulatory requirements
  • nQuery / PASS / G*Power - Sample size software
  • CONSORT / SPIRIT checklists - Reporting standards

Output Format

  • Sample size as a table: assumptions, formula, per-arm and total N.
  • Trial design as a structured summary: phase, design type, arms, blinding, duration.
  • CONSORT flow diagram description with all participant numbers.
  • Statistical analysis plan with pre-specified primary and secondary analyses.

Quality Checklist

  • PICO clearly defined
  • Primary endpoint is clinically meaningful and measurable
  • Sample size assumptions explicitly stated with references
  • Dropout rate factored into sample size
  • Randomization and blinding method specified
  • Multiple comparison adjustment for secondary endpoints
  • Interim analysis boundaries pre-specified if applicable
  • ITT and per-protocol populations defined
  • Regulatory guideline alignment noted (FDA/EMA/ICH)
Install via CLI
npx skills add https://github.com/beita6969/ScienceClaw --skill clinical-trial
Repository Details
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