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Medical Research Statistical Analysis Made Simple

Transform complex clinical data into meaningful insights with AI-powered statistical analysis. Perfect for healthcare researchers, clinical teams, and medical professionals.


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Statistical Analysis Built for Healthcare

Medical research demands precision, accuracy, and statistical rigor. Whether you're analyzing patient outcomes, conducting clinical trials, or evaluating treatment effectiveness, Sourcetable provides the statistical tools healthcare professionals need—without the complexity of traditional statistical software.

Picture this: You've just completed a 12-month clinical study with 500 participants. The data is overwhelming—patient demographics, baseline measurements, treatment responses, adverse events, and follow-up assessments. Traditional analysis might take weeks of wrestling with complex statistical software. With Sourcetable, you can generate comprehensive statistical reports in minutes, not months.

Why Healthcare Researchers Choose Sourcetable

Powerful statistical capabilities designed specifically for medical research workflows

Clinical Trial Analysis

Analyze patient outcomes, treatment efficacy, and safety profiles with built-in statistical tests for medical research.

Patient Data Management

Securely organize and analyze patient demographics, medical histories, and treatment responses in HIPAA-compliant environment.

Biostatistical Testing

Perform survival analysis, regression modeling, and hypothesis testing with AI-guided statistical recommendations.

Regulatory Reporting

Generate publication-ready tables and figures that meet FDA, EMA, and journal submission requirements.

Multi-Site Collaboration

Share analysis templates and results across research teams while maintaining data security and audit trails.

Real-Time Insights

Get instant statistical summaries and visualizations as data is collected, enabling adaptive study designs.

Real-World Medical Research Applications

See how healthcare professionals use Sourcetable for statistical analysis across different research scenarios

Phase II Clinical Trial Analysis

A research team studying a new cardiovascular drug needed to analyze efficacy endpoints across 300 patients. Using Sourcetable, they performed survival analysis, calculated hazard ratios, and generated Kaplan-Meier curves—completing their interim analysis in 2 hours instead of 2 weeks.

Epidemiological Study

Public health researchers investigating disease prevalence patterns across different demographics used Sourcetable to perform logistic regression analysis on 10,000+ patient records, identifying key risk factors and generating publication-ready odds ratio tables.

Treatment Outcome Comparison

A hospital quality improvement team compared surgical outcomes between two treatment protocols. They used paired t-tests, chi-square analysis, and multivariate regression to demonstrate a 23% improvement in patient recovery times.

Biomarker Discovery

Cancer researchers analyzing gene expression data from tissue samples used Sourcetable's correlation analysis and principal component analysis to identify novel biomarkers, reducing analysis time from months to days.

Meta-Analysis Project

A systematic review team combined results from 15 randomized controlled trials, performing weighted meta-analysis and forest plot generation to establish treatment effect sizes for their Cochrane review.

Diagnostic Test Validation

Medical device researchers validated a new diagnostic test by calculating sensitivity, specificity, and ROC curves from clinical validation data, producing regulatory submission documents in record time.

Ready to Streamline Your Medical Research?

Statistical Analysis in 4 Simple Steps

From data import to publication-ready results

Import Your Research Data

Upload clinical data from REDCap, Excel, CSV files, or connect directly to your clinical database. Sourcetable automatically detects data types and suggests appropriate statistical tests.

Choose Statistical Methods

Select from pre-built medical research templates or let AI recommend appropriate statistical tests based on your study design, sample size, and data characteristics.

Generate Analysis Results

Run comprehensive statistical analyses with a single click. Get p-values, confidence intervals, effect sizes, and power calculations automatically calculated and validated.

Create Research Reports

Export publication-ready tables, figures, and statistical summaries formatted for journal submission or regulatory filing. Include CONSORT diagrams and statistical methodology sections.

Comprehensive Biostatistical Toolkit

Sourcetable includes all the statistical methods healthcare researchers need, from basic descriptive statistics to advanced modeling techniques:

Descriptive Statistics & Data Exploration

  • Patient demographics tables with summary statistics
  • Missing data patterns and imputation strategies
  • Distribution analysis and normality testing
  • Outlier detection and data quality assessment

    • Hypothesis Testing & Comparative Analysis

    • T-tests for comparing treatment groups
    • Chi-square tests for categorical outcomes
    • ANOVA for multiple group comparisons
    • Non-parametric tests (Mann-Whitney, Kruskal-Wallis)

      • Advanced Clinical Research Methods

      • Survival analysis and Cox regression
      • Logistic regression for binary outcomes
      • Repeated measures analysis for longitudinal data
      • Power analysis and sample size calculations

        • HIPAA-Compliant Medical Data Analysis

        Healthcare data requires the highest levels of security and compliance. Sourcetable provides enterprise-grade protection for sensitive medical information:

        HIPAA Compliance

        Full HIPAA compliance with Business Associate Agreements, encrypted data transmission, and audit logging for all data access.

        Data Encryption

        End-to-end encryption for data at rest and in transit, with AES-256 encryption standards meeting healthcare industry requirements.

        Access Controls

        Role-based permissions, multi-factor authentication, and detailed audit trails ensure only authorized personnel access patient data.

        Data Governance

        Built-in data governance tools help maintain data integrity, track data lineage, and ensure reproducible research results.


        Frequently Asked Questions

        Can Sourcetable handle large clinical datasets?

        Yes, Sourcetable can process datasets with millions of rows and hundreds of variables. Whether you're analyzing electronic health records, genomic data, or multi-site clinical trials, our platform scales to meet your research needs.

        Is Sourcetable HIPAA compliant for medical research?

        Absolutely. Sourcetable meets all HIPAA requirements for handling protected health information (PHI). We provide Business Associate Agreements, encrypted data storage, audit logging, and access controls required for medical research compliance.

        What statistical methods are available for clinical research?

        Sourcetable includes comprehensive biostatistical methods including survival analysis, Cox regression, logistic regression, ANOVA, t-tests, chi-square tests, and specialized clinical trial analysis tools. Our AI assistant can recommend appropriate tests based on your study design.

        Can I generate publication-ready tables and figures?

        Yes, Sourcetable automatically formats statistical results according to medical journal standards. Export publication-ready tables, forest plots, Kaplan-Meier curves, and other visualizations that meet submission requirements for major medical journals.

        How does Sourcetable compare to traditional statistical software like SAS or SPSS?

        Sourcetable offers the same statistical rigor as traditional software but with a more intuitive interface and AI assistance. You get faster analysis, automatic documentation, and collaborative features while maintaining the statistical accuracy required for medical research.

        Can multiple researchers collaborate on the same analysis?

        Yes, Sourcetable supports real-time collaboration with version control, comment systems, and role-based permissions. Research teams can work together on analyses while maintaining data security and audit trails.

        Does Sourcetable integrate with clinical data management systems?

        Sourcetable connects with popular clinical data platforms including REDCap, clinical trial management systems, and electronic health record systems. We also support standard data formats like CDISC for regulatory submissions.

        Is training available for research teams?

        Yes, we provide comprehensive training programs for healthcare researchers, including biostatistics workshops, clinical trial analysis courses, and one-on-one support to help your team maximize research productivity.



        Checkout what Sourcetable has to offer

        Data Analyst

        Quickly explore, organize, and gain insights from your data

        Charts & Graphs

        Create stunning, interactive charts that make data clear.

        Data Cleaning

        Detect errors, remove duplicates, and structure messy data.

        Frequently Asked Questions

        If you question is not covered here, you can contact our team.

        Contact Us
        How do I analyze data?
        To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
        What data sources are supported?
        We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
        What data science tools are available?
        Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
        Can I analyze spreadsheets with multiple tabs?
        Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
        Can I generate data visualizations?
        Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
        What is the maximum file size?
        Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
        Is this free?
        Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
        Is there a discount for students, professors, or teachers?
        Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
        Is Sourcetable programmable?
        Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.




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