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Heterogeneous Treatment Effect Marginal Structural Model/Ushahidi
Rekodi ya ushahidi wa mbinu

Heterogeneous Treatment Effect Marginal Structural Model

The Heterogeneous Treatment Effect Marginal Structural Model extends the classic MSM framework of Robins, Hernan, and Brumback to estimate how treatment effects vary across subgroups or individual-level moderators. By weighting observations with inverse probability of treatment weights (IPTW) and interacting the treatment with effect modifiers in the weighted outcome model, the approach produces subgroup-specific or continuous causal effect estimates from observational data.

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Heterogeneous Treatment Effect Marginal Structural Model
Rekodi ya mbinu ya kiajenda · regression-model / causal-inference
  • Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550-560. · DOI 10.1097/00001648-200009000-00011
  • Hernan, M. A., & Robins, J. M. (2020). Causal Inference: What If. Chapman & Hall/CRC. · URL
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Same method familyDoubly Robust Estimationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketHeterogeneous Treatment Effect Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Same method familyInverse Probability Weightingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMarginal Structural Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPropensity Score Weightingmachine-suggested · Relational suggestion, not evidence.

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Sources recorded, not reviewed

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