Average Treatment Effects
How much does a 1-unit increase in each variable shift the QC z-score? Larger magnitude = stronger causal influence on failure.
Causal Graph (DAG)
Directed Acyclic Graph encoding domain knowledge. Arrows show causal direction, not correlation. Hover nodes for descriptions.
How to read the ATE chart:
Positive bars (red) = this variable increases the z-score deviation when it increases — pushing QC toward failure.
Each 1°C above 22°C adds approximately +0.35 to the z-score deviation.
Long calibration gaps (>36 h) add systematic negative drift.
Reagent lot effects are smaller but detectable.
Detailed ATE Results
| Variable | ATE on Z-Score | Interpretation | Impact |
|---|---|---|---|
| Loading… | |||
Method:
ATEs estimated using DoWhy's backdoor linear regression estimator on the causal DAG.
Temperature and calibration drift are upstream causes; confounders are controlled via the backdoor criterion.