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statistical-power-calculator

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Statistical Power Calculator

Statistical Power计算器

Calculate statistical power and determine required sample sizes for hypothesis testing and experimental design.
计算Statistical Power并确定假设检验和实验设计所需的样本量。

Purpose

用途

Experiment planning for:
  • Clinical trial design
  • A/B test planning
  • Research study sizing
  • Survey sample size determination
  • Power analysis and validation
适用于以下实验规划场景：
  • 临床试验设计
  • A/B测试规划
  • 研究样本量确定
  • 调查样本量计算
  • Statistical Power分析与验证

Features

功能特性

  • Power Calculation: Calculate statistical power for tests
  • Sample Size: Determine required sample size for desired power
  • Effect Size: Estimate detectable effect size
  • Multiple Tests: t-test, proportion test, ANOVA, chi-square
  • Visualizations: Power curves, sample size charts
  • Reports: Detailed analysis reports with recommendations
  • Statistical Power计算：计算各类检验的Statistical Power
  • 样本量确定：根据目标Statistical Power确定所需样本量
  • 效应量估算：估算可检测的效应量
  • 多类检验支持：t-test、比例检验、ANOVA、卡方检验
  • 可视化展示：Statistical Power曲线、样本量图表
  • 生成报告：包含建议的详细分析报告

Quick Start

快速开始

python
from statistical_power_calculator import PowerCalculator
python
from statistical_power_calculator import PowerCalculator

Calculate required sample size

Calculate required sample size

calc = PowerCalculator() result = calc.sample_size_ttest( effect_size=0.5, alpha=0.05, power=0.8 ) print(f"Required n per group: {result.n_per_group}")
calc = PowerCalculator() result = calc.sample_size_ttest( effect_size=0.5, alpha=0.05, power=0.8 ) print(f"Required n per group: {result.n_per_group}")

Calculate power

Calculate power

power = calc.power_ttest(n_per_group=100, effect_size=0.5, alpha=0.05)
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power = calc.power_ttest(n_per_group=100, effect_size=0.5, alpha=0.05)
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CLI Usage

CLI 使用方法

bash
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bash
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Calculate sample size for t-test

Calculate sample size for t-test

python statistical_power_calculator.py --test ttest --effect-size 0.5 --power 0.8
python statistical_power_calculator.py --test ttest --effect-size 0.5 --power 0.8

Calculate power

Calculate power

python statistical_power_calculator.py --test ttest --n 100 --effect-size 0.5
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python statistical_power_calculator.py --test ttest --n 100 --effect-size 0.5
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