mlsanityData to 14 Oct 2026

A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects

arXiv 2310.02278 ↗First posted 1 Oct 2023stat.ME stat.MLcited by 0

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Abstract (arXiv)

We propose an empirically stable and asymptotically efficient covariate-balancing approach to the problem of estimating survival causal effects in data with conditionally-independent censoring. This addresses a challenge often encountered in state-of-the-art nonparametric methods: the use of inverses of small estimated probabilities and the resulting amplification of estimation error. We validate our theoretical results in experiments on synthetic and semi-synthetic data.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 16 of its 45 references that are in the map. First posted on arXiv 1 Oct 2023.

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16 of 45 references.

References · 16

  1. 2017Causal Effect Inference with Deep Latent-Variable Modelscited by 410
  2. 2016DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Networkcited by 358
  3. 2019Continuous and Discrete-Time Survival Prediction with Neural Networkscited by 70
  4. 2016Balancing Covariates via Propensity Score Weightingcited by 65
  5. 2021Survival Regression with Proper Scoring Rules and Monotonic Neural Networkscited by 42
  6. 2016Generalized Optimal Matching Methods for Causal Inferencecited by 39
  7. 2017Augmented Minimax Linear Estimationcited by 33
  8. 2020Estimating heterogeneous treatment effects with right-censored data via causal survival forestscited by 29
  9. 2021SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Datacited by 25
  10. 2023Augmented balancing weights as linear regressioncited by 21
  11. 2021The Balancing Act in Causal Inferencecited by 20
  12. 2019Minimax Linear Estimation of the Retargeted Meancited by 11
4 more
  1. 2021Inference for treatment-specific survival curves using machine learningcited by 8
  2. 2021Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimensioncited by 6
  3. 2018Optimal Balancing of Time-Dependent Confounders for Marginal Structural Modelscited by 3
  4. 2018Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural modelscited by 2

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