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THE FEUTEX TOOLKIT

Inverse-Variance Two-Study Pooling

Combine two independent effect estimates using inverse-variance weighting.

Statistics workspace● Runs in your browser
01 Your input
02 Your result
View or copy raw result data
FormulaPooled = (e1/s1**2+e2/s2**2)/(1/s1**2+1/s2**2); Standard Error = sqrt(1/(1/s1**2+1/s2**2)); Weight One = (1/s1**2)/(1/s1**2+1/s2**2)
Sources and model references

Made for real tasks

  • Combine two independent effect estimates using inverse-variance weighting.
Explore step-by-step workflows →

Worked example

Inputs

Study one effect
0.2 number
Study one standard error
0.1 number
Study two effect
0.4 number
Study two standard error
0.2 number

Expected results

Pooled
0.24 number
Standard Error
0.0894427191 number
Weight One
0.8 fraction

Load the example in the workspace to reproduce these results. Display rounding does not change the underlying calculation.

How to use this tool

  1. Enter study one effect, study one standard error, study two effect, study two standard error.
  2. Use the displayed units and confirm the model assumptions.
  3. Calculate and compare the outputs against your input scenario.

Try this example

{
  "e1": 0.2,
  "s1": 0.1,
  "e2": 0.4,
  "s2": 0.2
}

Accuracy and scope

Fixed common effect model. Ratio outcomes must be supplied on the log scale; correlated studies or heterogeneity require another model.

Is my data uploaded?

This tool runs locally in your browser. Input and output are not sent to a processing server. Copy or download your result before leaving the page.