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seanshin0214

Dr. QuantMaster MCP Server

by seanshin0214

meta_effect_size

Calculate and convert effect sizes for meta-analysis using various input formats like means, t-values, correlations, or odds ratios to standardize research findings.

Instructions

메타분석용 효과크기 계산 및 변환

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_typeYes입력 유형
valuesYes입력값
target_metricNo변환 목표 지표

Implementation Reference

  • Registration of the 'meta_effect_size' tool, including its name, description, and input schema for meta-analysis effect size calculation and conversion.
      name: "meta_effect_size",
      description: "메타분석용 효과크기 계산 및 변환",
      inputSchema: {
        type: "object",
        properties: {
          input_type: {
            type: "string",
            enum: ["means_sd", "t_value", "f_value", "correlation", "odds_ratio", "proportion"],
            description: "입력 유형"
          },
          values: { type: "object", description: "입력값" },
          target_metric: { type: "string", description: "변환 목표 지표" },
        },
        required: ["input_type", "values"],
      },
    },
  • Input schema defining parameters for effect size input type, values, and optional target metric.
    inputSchema: {
      type: "object",
      properties: {
        input_type: {
          type: "string",
          enum: ["means_sd", "t_value", "f_value", "correlation", "odds_ratio", "proportion"],
          description: "입력 유형"
        },
        values: { type: "object", description: "입력값" },
        target_metric: { type: "string", description: "변환 목표 지표" },
      },
      required: ["input_type", "values"],
    },
  • Switch case registration mapping the tool name to its handler function.
    case "meta_effect_size":
      return handleMetaEffectSize(args);
  • Handler function for 'meta_effect_size' tool. Currently a placeholder that echoes input parameters and provides example R code using escale for standardized mean difference calculation from the metafor package.
    function handleMetaEffectSize(args: Record<string, unknown>) {
      return {
        input_type: args.input_type,
        values: args.values,
        r_code: "escalc(measure = 'SMD', m1i, sd1i, n1i, m2i, sd2i, n2i, data)"
      };
    }

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