• STATISTICS
  • EFFECT
  • DATA
  • HUMAN

How to analyze clinical trial results with your AI

Connect your datasets once. Your AI handles the math to determine if an intervention actually changed your outcomes.

Ask AI about this page

Short answer

How can I use AI to run t-tests on my trial data?

Your AI uses the T-Test Statistics Engine to compare pre-treatment and post-treatment values. It calculates the statistical significance of the change so you can see if the intervention worked. You'll get specific p-values and effect measurements.

The outcomes

What you get from the analysis

The AI processes your datasets to produce these specific outputs.

STATISTICS

Calculated p-values

The AI runs the math to find the probability that your results happened by chance. You get the exact numbers needed for your report.

EFFECT

Measured intervention impact

The engine compares the two datasets to show the magnitude of change. This tells you how much the treatment actually moved the needle.

DATA

Cleaned comparison sets

The AI organizes your pre- and post-treatment values into paired sets. It ensures the math is applied to the correct matched pairs.

HUMAN

Clinical interpretation

The AI provides the numbers, but you decide if the statistical significance translates to clinical relevance. You remain the final judge of the data.

The workflow

What your AI does when the data arrives.

The AI moves from raw data to statistical proof through these steps.

  1. Data Pairing

    The AI identifies the corresponding pre-treatment and post-treatment entries in your datasets. It aligns them so the comparison is valid.

    calculate_t_test

  2. Statistical Calculation

    The engine performs the paired t-test on the aligned values. It computes the mean difference and the standard error.

    calculate_t_test

  3. Significance Testing

    The AI determines the p-value based on the calculated t-statistic. This identifies if the intervention effect is statistically significant.

    calculate_t_test

  4. Result Summary

    The AI summarizes the findings into a readable format. You get the t-statistic, degrees of freedom, and p-value in one place.

    calculate_t_test

Try it

Copy these to start.

Use these prompts to trigger the analysis immediately.

Starting points

Replace the bracketed text with your specific file names or data sources.

jstat Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_EmtZwk2XpPdUyFvH15enT6zX1o0mdbBKs430ALWM/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — jstat capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "t-test-statistics-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_EmtZwk2XpPdUyFvH15enT6zX1o0mdbBKs430ALWM/mcp"
    }
  }
}
Copy into chat04

  • Run a paired t-test on the 'baseline_vitals.csv' and 'post_treatment_vitals.csv' files.

  • Compare the blood pressure readings in 'patient_group_a.xlsx' before and after the intervention.

  • Analyze the change in glucose levels using the datasets in my 'clinical_trial_results' folder.

  • Perform a paired t-test on the pre- and post-treatment data found in the 'study_results' sheet.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect T-Test Statistics Engine once, then ask.

Connect the MCP to your preferred client with one click. Your credentials stay encrypted, and you can start running tests immediately.

Connect T-Test Statistics Engine to your AI

FAQ

How the analysis behaves

  • 01

    Can the AI perform an independent t-test?

    No. This engine is built exclusively for paired t-tests to measure changes in the same subjects over time.

  • 02

    Does the AI change my original data files?

    No. The AI only reads your data to perform calculations. It never modifies or overwrites your original spreadsheets or CSVs.

  • 03

    What kind of files can I use?

    You can use any standard data format like CSV or Excel files that your AI client can read.

  • 04

    Will the AI decide if the drug is effective?

    No. The AI provides the statistical p-value and the math. You must interpret those results to determine clinical effectiveness.

  • 05

    Can the AI generate a full clinical study report?

    No. The AI provides the statistical outputs. You are responsible for writing the final report and interpreting the findings.

  • More questions about T-Test Statistics Engine? The Connector page answers them. See everything the T-Test Statistics Engine Connector can do

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