Works (4)
Updated: July 5th, 2023 15:43
2017 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.
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
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2016 journal article
A log rank type test in observational survival studies with stratified sampling
LIFETIME DATA ANALYSIS, 22(2), 280–298.
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
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)
europepmc.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
Adaptive truncated weighting for improving marginal structural model estimation of treatment effects informally censored by subsequent therapy
PHARMACEUTICAL STATISTICS, 14(6), 448–454.
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
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
Doubly-Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling
BIOMETRICS, 69(4), 830–839.
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
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
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