fix: simulate_randomized_trial

[bsaunders23]

Proposed changes

Caught a bug in the simulation of randomized trial data, prior code of np.maximum(np.repeat(0.0, n), X[:, 0] + X[:, 1], X[:, 2]) was actually returning np.maximum(np.repeat(0.0,n), X[:,0] + X[:,1]) and assigning the value of this to X[:,2] based on the documentation (see out).

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• Bugfix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
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Checklist

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Further comments

Impact of this is issues with parameter recall on different models (X[:,2] suddenly shows up as super important under shap values when it shouldn't be related to tau). Illustration of data impact included below:

[CLAassistant]

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