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Effect of treatment guidelines on survival models

Paper Authors:

Marta Spreafico


Key Details

Treatment guidelines can violate positivity assumption in survival models

Simulations test impact of guideline severity and compliance on estimates

Even minor violations introduce significant bias

Increasing sample size does not resolve guideline-induced bias

Assessing positivity is critical for reliable causal inference

AI generated summary

Effect of treatment guidelines on survival models

This paper examines the impact of treatment guidelines that violate the positivity assumption on estimates from survival models. Simulations explore varying the guideline thresholds, sample size, weight truncation strategies, and subject compliance. Results show even minor guideline violations substantially bias estimates, highlighting the importance of assessing positivity to ensure reliable causal inference.

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