MedStat is a comprehensive, web-based statistical platform designed specifically for medical researchers, clinicians, and biostatisticians. It serves as a powerful, free alternative to SPSS, Stata, and GraphPad, providing advanced analytical capabilities directly in your browser without any installation.
🌐 Official Website: medstat.app
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🧪 Firth Logistic Regression: Automatically fixes "Complete Separation" errors and reduces bias in small sample sizes (
$n < 50$ ) or rare event data using penalized likelihood. - ⚖️ Propensity Score Matching (PSM): Reduce selection bias and confounding in observational studies to mimic randomized controlled trials (RCTs).
- 📉 Survival Analysis: Generate professional Kaplan-Meier curves and perform Cox Proportional Hazards Regression with ease.
- 📊 Publication-Ready Outputs: Get APA-style tables and high-resolution Forest Plots ready for medical journals.
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📂 Data Compatibility: Seamlessly analyze Excel (
.xlsx) and CSV files.
In medical research, data privacy is paramount. MedStat is built with a Privacy-First architecture:
- 💻 100% Client-Side Processing: All statistical calculations are performed locally in your browser using JavaScript.
- 🚫 Zero Data Upload: Your sensitive clinical data never leaves your computer and is never stored on our servers.
- 🔒 High Security: Ideal for confidential patient data and HIPAA-regulated research environments.
MedStat 专门为临床研究人员设计，是处理医学数据的理想工具。
- 医学统计 (Medical Statistics): 替代 SPSS 和 Stata 的免费在线工具。
- 样本量计算 (Sample Size): 轻松计算临床试验所需的样本量。
- Firth 回归 (Firth Logistic Regression): 专门解决小样本或稀有事件中的“完全分离”问题。
- 生存分析 (Survival Analysis): 在线绘制 Kaplan-Meier 生存曲线和执行 Cox 回归。
- 倾向评分匹配 (PSM): 减少观察性研究中的选择偏差。
- Visit medstat.app
- Upload your data (Excel or CSV).
- Select your desired statistical method (e.g., Firth Logistic or PSM).
- Download your results and publication-ready plots.
MedStat implements evidence-based statistical algorithms validated for healthcare research:
- Logistic Regression: Penalized Likelihood (Firth's Method).
- Matching: Nearest Neighbor Matching for PSM.
- Survival: Log-rank tests and Cox Proportional Hazards modeling.
We welcome contributions from the global research and statistics community!
- Report Bugs: Use the GitHub Issues tab.
- Suggest Features: We are constantly looking for new biostatistics tools to add.
- License: Distributed under the MIT License.
Contact: MedStat Team
Keywords: biostatistics, clinical-research, spss-alternative, medical-statistics, firth-regression, psm, survival-analysis, 医学统计, 临床研究