Paper Citation Record · LEDGER

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data

As of 18 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2505.13072.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.13072 v1

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Reference resolution

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Outbound references

Observation a3f8e2c1-d359-4b8a-9fc8-06a3a6902009 · outbound

This paper cites Conformal meta-learners for predictive inference of individual treatment effects.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Conformal meta-learners for predictive inference of individual treatment effects

Reference 1

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Observation 5bfc7c88-7cc1-4385-88d4-57901cfb1364 · outbound

This paper cites Policy learning with observational data.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Policy learning with observational data

Reference 2

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This paper cites Doubly robust estimation in missing data and causal inference models.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Doubly robust estimation in missing data and causal inference models

Reference 3

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This paper cites One-step targeted maximum likelihood for time-to- event outcomes.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data One-step targeted maximum likelihood for time-to- event outcomes

Reference 4

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Observation e627ae8b-ee94-4e3c-94ca-e6bb69f7312e · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Double/debiased machine learning for treatment and structural parameters

Reference 5

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Observation 4156dd05-60be-49e0-8285-5337f959c49b · outbound

This paper cites Counterfactual predic- tions under runtime confounding.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Counterfactual predic- tions under runtime confounding

Reference 6

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Observation 011fa200-b081-49a2-93f8-09495a5f307b · outbound

This paper cites Estimating heterogeneous treatment effects with right-censored data via causal survival forests.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating heterogeneous treatment effects with right-censored data via causal survival forests

Reference 7

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Observation e97de616-73ba-42d0-8f51-35b16dde85c0 · outbound

This paper cites SurvITE: Learning heterogeneous treatment effects from time-to-event data.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning heterogeneous treatment effects from time-to-event data

Reference 8

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This paper cites Nonparametric estimation of heterogeneous treat- ment effects: From theory to learning algorithms.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Nonparametric estimation of heterogeneous treat- ment effects: From theory to learning algorithms

Reference 9

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Observation 8c7a2c1a-9e4f-448f-b5c8-f25b3ed2fef7 · outbound

This paper cites Causal machine learning for predicting treatment outcomes.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Causal machine learning for predicting treatment outcomes

Reference 10

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Observation 56fbe8b5-712f-4ee1-82d4-b8c36b9c59b8 · outbound

This paper cites Orthogonal statistical learning.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Orthogonal statistical learning

Reference 11

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This paper cites Estimating individual treatment effects under unob- served confounding using binary instruments.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating individual treatment effects under unob- served confounding using binary instruments

Reference 12

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This paper cites Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Model-agnostic meta-learners for estimating heterogeneous treatment effects over time

Reference 13

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This paper cites Estimating Heterogeneous Treatment Effects for General Responses.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating Heterogeneous Treatment Effects for General Responses

Reference 14

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Observation 85ce5c92-f9b0-4a1c-a644-abc5b04b2234 · outbound

This paper cites Causal inference in public health.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Causal inference in public health

Reference 15

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Observation 43e0b6cb-39e9-46a9-a59d-aca9f6233091 · outbound

This paper cites Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models

Reference 16

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Observation e942422a-c3af-4779-ab7d-da3d2d9f1d32 · outbound

This paper cites Bayesian nonparametric modeling for causal inference.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Bayesian nonparametric modeling for causal inference

Reference 17

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This paper cites Estimating heterogeneous survival treatment effect in observational data using machine learning.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating heterogeneous survival treatment effect in observational data using machine learning

Reference 18

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This paper cites Identification and estimation of local average treatment effects.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Identification and estimation of local average treatment effects

Reference 19

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data More efficient policy learning via optimal retargeting

Reference 20

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This paper cites DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network

Reference 21

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This paper cites Semiparametric doubly robust targeted double machine learning: A review.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Semiparametric doubly robust targeted double machine learning: A review

Reference 22

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Towards optimal doubly robust estimation of heterogeneous causal effects

Reference 23

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This paper cites Real-world progression, treatment, and survival outcomes during rapid adoption of immunotherapy for advanced non–small cell lung cancer.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Real-world progression, treatment, and survival outcomes during rapid adoption of immunotherapy for advanced non–small cell lung cancer

Reference 24

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Klein and Melvin L

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Prediction from randomly right censored data

Reference 26

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This paper cites Metalearners for estimating heterogeneous treatment effects using machine learning.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Metalearners for estimating heterogeneous treatment effects using machine learning

Reference 27

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This paper cites A Meta-learner for Heterogeneous Effects in Difference-in-Differences.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data A Meta-learner for Heterogeneous Effects in Difference-in-Differences

Reference 28

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Causal effect inference with deep latent-variable models

Reference 29

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This paper cites On Weighted Orthogonal Learners for Heterogeneous Treatment Effects.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data On Weighted Orthogonal Learners for Heterogeneous Treatment Effects

Reference 30

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Quasi-oracle estimation of heterogeneous treatment effects

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data B-learner: Quasi-oracle bounds on heterogeneous causal effects under hidden confounding

Reference 32

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Clinical trials in older people

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Robust estimation in sequentially ignorable missing data and causal inference models

Reference 34

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimation of reression coefficients when some regressors are not always observed

Reference 35

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Doubly robust censoring unbiased transformations

Reference 36

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating causal effects of treatments in randomized and nonrandomized studies

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This paper cites BITES: Balanced individual treatment effect for survival data.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data BITES: Balanced individual treatment effect for survival data

Reference 38

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This paper cites Meta-learners for partially-identified treatment effects across multiple environments.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Meta-learners for partially-identified treatment effects across multiple environments

Reference 39

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This paper cites Estimating individual treatment effect: Generalization bounds and algorithms.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating individual treatment effect: Generalization bounds and algorithms

Reference 40

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This paper cites Association of Patient Characteristics and Tumor Genomics with clinical outcomes among patients with non–small cell lung cancer using a clinicogenomic database.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Association of Patient Characteristics and Tumor Genomics with clinical outcomes among patients with non–small cell lung cancer using a clinicogenomic database

Reference 41

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This paper cites Machine learning estimation of heterogeneous treatment effects with instruments.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Machine learning estimation of heterogeneous treatment effects with instruments

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:56.136721Z

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Non-parametric individual treatment effect estimation for survival data with random forests

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:56.122307Z

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Statistical inference for variable importance

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data van der Laan and James M

Reference 45

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Targeted maximum likelihood learning

Reference 46

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Asymptotic statistics

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Inference for treatment-specific survival curves using machine learning

Reference 48

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This paper cites Deep Learning for Survival Analysis: A Review.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Deep Learning for Survival Analysis: A Review

Reference 49

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Observation e964d60f-800e-459b-9259-26eb7286f78c · outbound

This paper cites Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations

Reference 50

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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Treatment heterogeneity for survival outcomes

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:56.037883Z

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Observation 926076e3-5dae-479a-a67e-e892c9a029b4 · outbound

This paper cites Mining heterogeneous causal effects for personalized cancer treatment.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Mining heterogeneous causal effects for personalized cancer treatment

Reference 52

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This paper cites Targeted estimation of heterogeneous treatment effect in ob- servational survival analysis.

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Targeted estimation of heterogeneous treatment effect in ob- servational survival analysis

Reference 53

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Debiased maximum-likelihood estimators for hazard ratios under kernel-based machine-learning adjustment cites this paper.

Debiased maximum-likelihood estimators for hazard ratios under kernel-based machine-learning adjustment Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models cites this paper.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data

Reference 172

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