GitHub
meta-analysis
Complete meta-analysis generation for neurosurgical outcomes
☆ 1查看技能
matheus-rech AI Skills
GitHub ↗浏览 matheus-rech 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
作者统计
已收录技能
25收录技能的仓库 Stars 合计
12仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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近期收录动态
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GitHub
network-meta-analysis
Network meta-analysis for comparing multiple treatments
☆ 1查看技能
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...
☆ 1查看技能
GitHub
risk-of-bias
Risk of bias and quality assessment for systematic reviews
☆ 1查看技能
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...
☆ 1查看技能
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.
☆ 1查看技能
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.
☆ 1查看技能
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
☆ 1查看技能
GitHub
data-extraction
Extract structured data from neurosurgical studies
☆ 1查看技能
GitHub
neurosurgery-literature
Domain-specific literature search for neurosurgery systematic reviews
☆ 1查看技能
GitHub
manuscript-writing
PRISMA-compliant manuscript drafting for systematic reviews
☆ 1查看技能
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.
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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...
☆ 0查看技能
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,...
☆ 0查看技能
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...
☆ 0查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。