GitHub
subgroup-analysis
Conduct subgroup analyses to examine effect moderation. Use when: (1) Testing pre-specified moderators, (2) Exploring heterogeneity, (3) Identifying differential effects, (4) Meta-analysis synthesis.
astoreyai AI Skills
GitHub ↗Explorez les skills IA publiés de astoreyai et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
48Étoiles des dépôts des skills indexés
66Forks du dépôt
66Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
research-questions
Formulate research questions using FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant). Use when: (1) Starting new research projects, (2) Refining study scope, (3) Grant proposal development, (4) E...
GitHub
prisma-diagram
Generate PRISMA 2020 flow diagrams for systematic reviews. Use when: (1) Conducting systematic literature reviews, (2) Documenting screening process, (3) Reporting study selection for publications, (4) Demonstr...
GitHub
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.
GitHub
meta-analysis
Conduct quantitative synthesis through meta-analysis. Use when: (1) Combining effect sizes across studies, (2) Systematic review synthesis, (3) Calculating summary effects, (4) Assessing heterogeneity.
GitHub
citation-format
Format citations and bibliographies in multiple academic styles (APA, IEEE, Chicago, Harvard, MLA, Nature, Science). Use when: (1) Converting between citation styles for different journals, (2) Cleaning and sta...
GitHub
sensitivity-analysis
Conduct sensitivity analyses to test robustness of findings. Use when: (1) Testing assumption violations, (2) Meta-analysis robustness, (3) Handling missing data, (4) Examining outliers.
GitHub
hypothesis-test
Guide selection and interpretation of statistical hypothesis tests. Use when: (1) Choosing appropriate test for research data, (2) Checking assumptions before analysis, (3) Interpreting test results correctly,...
GitHub
risk-of-bias
Assess risk of bias in research studies for systematic reviews. Use when: (1) Conducting systematic reviews, (2) Evaluating study quality, (3) GRADE assessments, (4) Meta-analysis planning.
GitHub
inclusion-criteria
Apply inclusion/exclusion criteria systematically in literature reviews. Use when: (1) Screening abstracts, (2) Reviewing full texts, (3) Documenting screening decisions, (4) Ensuring PRISMA compliance.
GitHub
pre-registration
Create pre-registration documents for research transparency. Use when: (1) Before data collection, (2) Grant submissions, (3) Ensuring reproducibility, (4) Meeting open science standards, (5) Preventing HARKing...
GitHub
synthesis-matrix
Create evidence synthesis matrices for systematic reviews. Use when: (1) Organizing extracted data, (2) Comparing study characteristics, (3) Identifying patterns across studies, (4) Preparing synthesis for manu...
GitHub
data-visualization
Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations.
GitHub
power-analysis
Calculate statistical power and required sample sizes for research studies. Use when: (1) Designing experiments to determine sample size, (2) Justifying sample size for grant proposals or protocols, (3) Evaluat...
GitHub
effect-size
Calculate and interpret effect sizes for statistical analyses. Use when: (1) Reporting research results to show practical significance, (2) Meta-analysis to combine study results, (3) Grant writing to justify e...
GitHub
irb-protocol
Develop IRB/ethics protocols for human subjects research. Use when: (1) Planning studies involving humans, (2) Preparing IRB applications, (3) Ensuring ethical compliance, (4) Addressing informed consent.
GitHub
publication-prep
Prepare manuscripts for journal submission. Use when: (1) Writing research papers, (2) Selecting target journals, (3) Formatting manuscripts, (4) Ensuring reporting guideline compliance, (5) Preparing submissio...
GitHub
results-interpretation
Interpret statistical results correctly and comprehensively. Use when: (1) Writing results sections, (2) Discussing findings, (3) Avoiding common misinterpretations, (4) Reporting effect sizes and confidence in...
GitHub
randomization
Implement proper randomization procedures for experiments. Use when: (1) Assigning participants to conditions, (2) Ensuring unbiased allocation, (3) Meeting CONSORT standards, (4) Pre-registration.
GitHub
ai-check
Detect AI/LLM-generated text patterns in research writing. Use when: (1) Reviewing manuscript drafts before submission, (2) Pre-commit validation of documentation, (3) Quality assurance checks on research artif...
GitHub
experiment-design
Design rigorous experiments following best practices. Use when: (1) Planning research studies, (2) Grant proposal development, (3) Pre-registration, (4) Ensuring internal validity, (5) Meeting NIH rigor standar...
GitHub
literature-gap
Identify research gaps from systematic literature reviews. Use when: (1) Completing literature reviews, (2) Justifying new studies, (3) Grant proposal development, (4) Dissertation planning, (5) Identifying fut...
GitHub
kymera-brand
Kymera Systems brand design - Jarvis-inspired HUD aesthetic with dark and light modes. Use for branded UI, dashboards, presentations, and technical artifacts.
GitHub
ww-recall
Recall memories from World Weaver using multi-strategy retrieval
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.