GitHub
meta-analysis
Complete meta-analysis generation for neurosurgical outcomes
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matheus-rech AI Skills
GitHub ↗Browse published AI skills maintained by matheus-rech. Compare skill descriptions and follow each source repository for setup instructions.
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Indexed skills
25Repository stars across indexed skills
12Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
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GitHub
network-meta-analysis
Network meta-analysis for comparing multiple treatments
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GitHub
manuscript-writing
Use when writing systematic review manuscript sections following PRISMA 2020 guidelines. Covers abstract, introduction, methods, results, and discussion drafting for medical journals. Invoke for academic writin...
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GitHub
risk-of-bias
Risk of bias and quality assessment for systematic reviews
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GitHub
meta-analysis
Use when performing meta-analysis, pooling study data, generating forest plots, funnel plots, assessing heterogeneity, or conducting subgroup and sensitivity analyses. Invoke for any statistical synthesis of mu...
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GitHub
data-extraction
Use when extracting structured data from medical research PDFs, parsing study characteristics, patient demographics, outcomes, and results. Invoke for systematic review data collection from papers.
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GitHub
neurosurgery-literature
Use when searching for neurosurgery literature, developing PubMed search strategies, identifying MeSH terms, or building systematic search queries. Invoke for literature searching in neurosurgery topics.
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GitHub
risk-of-bias
Use when assessing risk of bias or study quality. Covers RoB 2 for RCTs, Newcastle-Ottawa Scale for cohorts, ROBINS-I for non-randomized interventions, and QUADAS-2 for diagnostic studies. Invoke for quality as...
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GitHub
tsa-integration
Trial Sequential Analysis for meta-analyses with information size calculations
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GitHub
data-extraction
Extract structured data from neurosurgical studies
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GitHub
neurosurgery-literature
Domain-specific literature search for neurosurgery systematic reviews
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GitHub
manuscript-writing
PRISMA-compliant manuscript drafting for systematic reviews
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GitHub
publication-bias-detection
Detect and assess publication bias in meta-analysis using funnel plots, Egger's test, trim-and-fill, and selection models. Use when users need to evaluate whether missing studies might affect their conclusions.
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GitHub
forest-plot-creation
Generate and interpret forest plots for meta-analysis visualization using R and the metafor package. Use when users need to create forest plots, understand visual representation of pooled effects, or interpret...
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GitHub
socratic-teaching
Apply Socratic teaching methodology to guide users through meta-analysis concepts using questions, scaffolding, and discovery-based learning. Use when teaching meta-analysis to students or researchers who want...
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GitHub
data-extraction
Extract and prepare study data for meta-analysis including effect size calculation, variance estimation, and handling missing data. Use when users need to convert reported statistics into analyzable format or c...
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GitHub
grade-assessment
Apply the GRADE framework to assess certainty of evidence in systematic reviews. Use when users need to rate evidence quality, create Summary of Findings tables, or understand the factors that affect confidence...
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GitHub
meta-analysis-fundamentals
Teach the foundational concepts of meta-analysis including effect sizes, statistical models, and evidence synthesis. Use when users ask about meta-analysis basics, want to understand pooled effects, or need gui...
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GitHub
trial-sequential-analysis
Teach Trial Sequential Analysis (TSA) for controlling type I and II errors in cumulative meta-analyses. Use when users need to assess if meta-analysis has sufficient information, want to avoid premature conclus...
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GitHub
ipd-meta-analysis
Teach Individual Patient Data (IPD) meta-analysis methods for analyzing raw participant-level data from multiple studies. Use when users have access to original datasets, need to explore treatment-effect modifi...
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GitHub
r-code-generation
Generate R code for meta-analysis using the metafor package, including data preparation, model fitting, visualization, and sensitivity analyses. Use when users need executable R code for their meta-analysis wor...
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GitHub
heterogeneity-analysis
Assess and interpret between-study heterogeneity in meta-analysis using I², Q statistic, tau², and prediction intervals. Use when users need to evaluate consistency across studies, understand sources of variati...
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GitHub
diagnostic-meta-analysis
Teach meta-analysis of diagnostic test accuracy studies including sensitivity, specificity, SROC curves, and bivariate models. Use when users need to synthesize diagnostic accuracy data, understand SROC curves,...
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GitHub
network-meta-analysis
Teach network meta-analysis (NMA) for comparing multiple treatments simultaneously. Use when users need to compare more than two interventions, understand indirect comparisons, or create network plots and leagu...
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