PowerLMM.js

v0.3.0

Power Analysis for Longitudinal Data

Calculate statistical power for linear mixed-effects models with dropout. Supports null hypothesis, non-inferiority, and equivalence tests.

Power Contour

Explore how statistical power varies across two parameters simultaneously. Select any two parameters from the dropdowns to visualize their relationship and discover optimal parameter combinations.

0.00.20.40.60.81.01.21.450100150200n per groupEffect (Cohen's d, pretest SD)
Power0.00.20.40.60.81.0

Axes

Ranges

n per group
Effect (Cohen's d, pretest SD)

Explore the Model

Use the tabs below to explore model implied parameters and assumptions.

Proportion Remaining

This plot shows the proportion of participants remaining at each time point. The dropout process is monotonic, with no intermittent missing data.

012345678910Time0.000.250.500.751.00Proportion Remaining

Analysis & Export

View detailed analysis summary, share your configuration, or export for later use.

Analysis Summary

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Import Analysis

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