Xiaofei Bai

Works (4)

Updated: July 5th, 2023 15:43

2016 journal article

Optimal treatment regimes for survival endpoints using locally-efficient doubly-robust estimator from a classification perspective

Lifetime Data Analysis, 23(4), 585–604.

By: X. Bai n, A. Tsiatis n, W. Lu n  & R. Song n 

author keywords: Classification; Doubly-robust; Observational survival study; Optimal treatment regime; Value search
MeSH headings : Computer Simulation; Coronary Artery Bypass; Coronary Artery Disease / mortality; Coronary Artery Disease / therapy; Decision Making; Humans; Life Tables; Models, Statistical; Monte Carlo Method; Percutaneous Coronary Intervention; Survival Analysis; Treatment Outcome
topics (OpenAlex): Statistical Methods and Inference; Advanced Causal Inference Techniques; Statistical Methods and Bayesian Inference
TL;DR: This work derives a locally efficient, doubly robust, augmented inverse probability weighted complete case estimator for the value function with censored survival data and study the large sample properties of this estimator. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

A log rank type test in observational survival studies with stratified sampling

Bai, X., & Tsiatis, A. A. (2015, May 29). Lifetime Data Analysis.

By: X. Bai n & A. Tsiatis n

author keywords: Cox proportional hazards model; Log rank test; Observational study; Stratified sampling; Survival analysis
MeSH headings : Computer Simulation; Coronary Artery Disease / mortality; Coronary Artery Disease / therapy; Humans; Models, Statistical; Observational Studies as Topic / statistics & numerical data; Probability; Proportional Hazards Models; Sampling Studies; Survival Analysis
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Statistical Methods in Clinical Trials
TL;DR: This paper generalizes the augmented inverse probability weighted complete case estimators for treatment-specific survival distribution proposed in Bai et al. (Biometrics 69:830–839, 2013) and develops the log rank type test in both cases. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2015 article

Adaptive truncated weighting for improving marginal structural model estimation of treatment effects informally censored by subsequent therapy

Bai, X., Liu, J., Li, L., & Faries, D. (2015, October 5). Pharmaceutical Statistics.

By: X. Bai n, J. Liu *, L. Li * & D. Faries *

author keywords: clinical trial; marginal structural model; subsequent confounding; survival analysis
MeSH headings : Bias; Carcinoma, Non-Small-Cell Lung / drug therapy; Clinical Trials, Phase III as Topic / methods; Confounding Factors, Epidemiologic; Humans; Lung Neoplasms / drug therapy; Models, Statistical; Proportional Hazards Models; Randomized Controlled Trials as Topic / methods; Time Factors
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Statistical Methods in Clinical Trials
TL;DR: A new method for estimating weights in MSMs by adaptively truncating the longitudinal inverse probabilities is proposed, which provides balance in the bias variance trade‐off when large weights are inevitable, without the ad hoc removal of selected observations. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2013 article

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

Bai, X., Tsiatis, A. A., & O'Brien, S. M. (2013, October 11). Biometrics.

By: X. Bai n, A. Tsiatis n & S. O'Brien*

author keywords: Cox proportional hazard model; Double robustness; Observational study; Stratified sampling; Survival analysis
MeSH headings : Coronary Artery Disease / mortality; Coronary Artery Disease / surgery; Data Interpretation, Statistical; Humans; Observational Studies as Topic / methods; Outcome Assessment, Health Care / methods; Prevalence; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Statistical Distributions; Survival Analysis; Treatment Outcome; United States / epidemiology
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
TL;DR: Semiparametric theory is used to derive a doubly robust estimator of the treatment-specific survival distribution in cases where it is believed that all the potential confounders are captured. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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