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May 19, 2024Open Access

A comparative study of augmented inverse propensity weighted estimators using outcome-adaptive lasso and other penalized regression methods

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Authors

WHWataru HongoSAShuji AndoJTJun Tsuchida

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Cite This Study

Hongo et al. (2024) studied this question.

synapsesocial.com/papers/68e69709b6db64358761d64ahttps://doi.org/10.48550/arxiv.2405.11522
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Estimation of Covariate Balancing Propensity Score Based on Outcome Adaptive Lasso2026
  2. 2High-dimensional model-assisted inference for treatment effects with multi-valued treatments2024 · 1 citations
  3. 3Augmented match weighted estimators: new methods for estimating average treatment effects under extreme propensity scores2026
  4. 4Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects2024
  5. 5Beyond weighting: Propensity score modeling for causal inference2026