Claude-skill-registry blinding
Implement blinding procedures to reduce bias in experimental studies. Use when: (1) Designing RCTs, (2) Ensuring objectivity, (3) Meeting CONSORT standards, (4) Minimizing performance and detection bias.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/blinding" ~/.claude/skills/majiayu000-claude-skill-registry-blinding && rm -rf "$T"
manifest:
skills/data/blinding/SKILL.mdsource content
Blinding Procedures Skill
Purpose
Implement appropriate blinding to reduce bias in research studies.
Types of Blinding
Single-Blind: Participants unaware of allocation Double-Blind: Participants and researchers unaware Triple-Blind: Participants, researchers, and analysts unaware
Who to Blind
Participants: Reduce expectancy effects, placebo Interventionists: Reduce performance bias Assessors: Reduce detection bias Analysts: Reduce reporting bias
Blinding Strategies
Medications:
- Identical placebo (same appearance, taste)
- Over-encapsulation
- Matching packaging
Behavioral Interventions:
- Attention-matched control
- Active control condition
- Blind outcome assessors
Assessments:
- Automated/computerized measures
- Independent blinded raters
- Objective outcomes (less bias-prone)
When Blinding Impossible
- Surgical interventions
- Exercise interventions
- Educational programs
Mitigation:
- Blind outcome assessors
- Use objective outcomes
- Report lack of blinding as limitation
Version: 1.0.0