MA Power Analysis

何时使用

当你有一张效应表并需要可辩护的汇总估计时使用。

将元分析从计算器输出中取出，绑定到一条决策轨迹：效应量、异质性、模型选择与来源。

局限与适用范围

• 这是一种研究设计规格方法：在数据尚不存在时对研究进行规划或估算样本量，而非分析已采集的数据集。
• 本方法尚未生成独立图形；其结果以表格和经过诠释的发现形式呈现。
• 结果取决于您提供的研究、语料与参数，以及所选模型。该分析按所报告的方式汇总证据，并不确立因果关系。
• 每幅图形均标明其来源，且每次运行均可依据相同的输入、参数与引擎版本逐位复现。

本方法族内

• Univariate Meta-AnalysisPool one effect size per study into a single summary estimate with heterogeneity diagnostics.
• Multilevel Meta-AnalysisTwo- or three-level models for dependent effect sizes nested within studies or labs.
• GLMM Meta-AnalysisGeneralised linear mixed models for binary/count outcomes without normal approximation.
• Network Meta-AnalysisMixed treatment comparison across ≥3 interventions with a connected evidence network.
• Diagnostic Test AccuracyBivariate sensitivity/specificity model with a summary ROC curve.
• Dose–Response Meta-AnalysisModel the shape of an exposure–outcome relationship across dose levels.
• P-Uniform*Bias-corrected effect estimate robust to selective publication.
• P-Curve AnalysisTest the significant p-values for evidential value vs p-hacking via the p-curve's right-skew (Simonsohn et al. 2014).
• Trial Sequential AnalysisAdjust cumulative meta-analysis for repeated significance testing — is the evidence conclusive, or is more information needed (Wetterslev et al. 2008)?