Estimating heterogeneous survival treatment effect in observational data using machine learning

Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data

(2020) Madhu Mazumdar et al.   BMC HEALTH SERVICES RESEARCH

Estimation of causal effects of multiple treatments in observational studies with a binary outcome

(2020) Liangyuan Hu et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Deep learning for survival outcomes

(2020) Jon Arni Steingrimsson et al.   STATISTICS IN MEDICINE

Targeted estimation of heterogeneous treatment effect in observational survival analysis

(2020) Jie Zhu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Comment: Stabilizing the Doubly-Robust Estimators of the Average Treatment Effect under Positivity Violations

(2020) Fan Li   STATISTICAL SCIENCE

Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and death

(2019) Liangyuan Hu et al.   BIOMETRICS

Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

(2019) Vincent Dorie et al.   STATISTICAL SCIENCE

Approaches to treatment effect heterogeneity in the presence of confounding

(2019) Sarah C. Anoke et al.   STATISTICS IN MEDICINE

Bayesian additive regression trees and the General BART model

(2019) Yaoyuan Vincent Tan et al.   STATISTICS IN MEDICINE

The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement

(2019) David M. Kent et al.   ANNALS OF INTERNAL MEDICINE

One‐step targeted maximum likelihood estimation for time‐to‐event outcomes

(2019) Weixin Cai et al.   BIOMETRICS

Propensity score weighting for causal inference with multiple treatments

(2019) Fan Li et al.   Annals of Applied Statistics

OUP accepted manuscript

(2018)   BIOSTATISTICS

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

(2018) Jared L. Katzman et al.   BMC Medical Research Methodology

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

Challenges of Interpreting Registry Data in Prostate Cancer: Interpreting Retrospective Results Along With or in Absence of Clinical Trial Data

(2018) Ronald C. Chen   JOURNAL OF CLINICAL ONCOLOGY

Brachytherapy-Based Radiotherapy and Radical Prostatectomy Are Associated With Similar Survival in High-Risk Localized Prostate Cancer

(2018) Ronald D. Ennis et al.   JOURNAL OF CLINICAL ONCOLOGY

Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods

(2018) Min Lu et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

(2018) Stefan Wager et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On the propensity score weighting analysis with survival outcome: Estimands, estimation, and inference

(2018) Huzhang Mao et al.   STATISTICS IN MEDICINE

Estimating the Optimal Personalized Treatment Strategy Based on Selected Variables to Prolong Survival via Random Survival Forest with Weighted Bootstrap

(2017) Jincheng Shen et al.   Journal of Biopharmaceutical Statistics

Balancing Covariates via Propensity Score Weighting

(2017) Fan Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Decision making and uncertainty quantification for individualized treatments using Bayesian Additive Regression Trees

(2017) Brent R Logan et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Alternatives to Hazard Ratios for Comparing the Efficacy or Safety of Therapies in Noninferiority Studies

(2015) Hajime Uno et al.   ANNALS OF INTERNAL MEDICINE

Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner

(2014) Romain Pirracchio et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysis

(2014) Hajime Uno et al.   JOURNAL OF CLINICAL ONCOLOGY

A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates

(2014) Lu Tian et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Synthetic learning machines

(2014) Hemant Ishwaran et al.   BioData Mining

Doubly-Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling

(2013) Xiaofei Bai et al.   BIOMETRICS

Double-Robust Semiparametric Estimator for Differences in Restricted Mean Lifetimes in Observational Studies

(2012) Min Zhang et al.   BIOMETRICS

Contrasting treatment-specific survival using double-robust estimators

(2012) Min Zhang et al.   STATISTICS IN MEDICINE

Subgroup identification from randomized clinical trial data

(2011) Jared C. Foster et al.   STATISTICS IN MEDICINE

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

Estimating Differences in Restricted Mean Lifetime Using Observational Data Subject to Dependent Censoring

(2010) Min Zhang et al.   BIOMETRICS

Bayesian Nonparametric Modeling for Causal Inference

(2010) Jennifer L. Hill   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Asymptotics for Statistical Treatment Rules

(2009)   ECONOMETRICA

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics