Suhyun Kang

Works (4)

Updated: July 5th, 2023 15:37

2017 article

On estimation of the optimal treatment regime with the additive hazards model

Lu, W., Kang, S., & Zhang, J. (2017, April 18). Statistica Sinica, Vol. 28, pp. 1539–1560.

By: W. Lu n , S. Kang n & J. Zhang  n

author keywords: A-learning estimating equations; additive hazards model; doubly robust; optimal treatment regime; time-dependent propensity score
topics (OpenAlex): Advanced Causal Inference Techniques; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
TL;DR: A new semiparametric additive hazard model is introduced which allows flexible baseline covariate effects in the control group and incorporates marginal treatment effect and its linear interaction with covariates and a time-dependent propensity score is proposed to construct an A-learning type of estimating equations. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 3, 2018

2017 journal article

Subgroup detection and sample size calculation with proportional hazards regression for survival data

Statistics in Medicine, 36(29), 4646–4659.

By: S. Kang n, W. Lu n  & R. Song n 

author keywords: change-plane analysis; doubly robust test; sample size calculation; subgroup detection; survival data
MeSH headings : Acquired Immunodeficiency Syndrome; Algorithms; Clinical Trials as Topic; Computer Simulation; Control Groups; Humans; Propensity Score; Proportional Hazards Models; Regression Analysis; Sample Size; Statistics, Nonparametric; Survival Analysis
topics (OpenAlex): Statistical Methods in Clinical Trials; Advanced Causal Inference Techniques; Statistical Methods and Inference
TL;DR: A score‐type test for detecting the existence of the subgroup is developed, which is doubly robust against misspecification of the baseline effect model or the propensity score but not both under mild assumptions for censoring. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2017 article

What’s in a side effect? The association between pulmonary vasodilator adverse drug events and clinical outcomes in patients with pulmonary arterial hypertension

Leary, P. J., Kang, S., Kolb, T. M., Maron, B. A., Ralph, D. D., Rao, Y., … Zamanian, R. T. (2017, April 6). International Journal of Cardiology.

By: P. Leary *, S. Kang n, T. Kolb *, B. Maron *, D. Ralph*, Y. Rao*, R. Tedford *, R. Zamanian *

author keywords: Pulmonary hypertension; Side effects; Epidemiology
MeSH headings : Adult; Antihypertensive Agents / adverse effects; Cohort Studies; Drug-Related Side Effects and Adverse Reactions / etiology; Drug-Related Side Effects and Adverse Reactions / mortality; Epoprostenol / adverse effects; Epoprostenol / analogs & derivatives; Female; Gastrointestinal Diseases / chemically induced; Gastrointestinal Diseases / mortality; Humans; Hypertension, Pulmonary / drug therapy; Hypertension, Pulmonary / mortality; Male; Middle Aged; Retrospective Studies; Treatment Outcome; Vasodilator Agents / adverse effects
topics (OpenAlex): Pulmonary Hypertension Research and Treatments; Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis; Atrial Fibrillation Management and Outcomes
TL;DR: Gastrointestinal ADEs after starting subcutaneous treprostinil were associated with an increased risk for mortality, and this hypothesis-generating association suggests ADEs may identify different phenotypes in PAH. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2016 article

Efficient Estimation for Accelerated Failure Time Model under Case-Cohort and Nested Case-Control Sampling

Kang, S., Lu, W., & Liu, M. (2016, August 1). Biometrics, Vol. 73, pp. 114–123.

By: S. Kang n, W. Lu n  & M. Liu *

author keywords: Accelerated failure time model; Case-cohort; Efficient estimation; Kernel smoothing; Nested case-control
MeSH headings : Algorithms; Case-Control Studies; Computer Simulation; Data Interpretation, Statistical; Healthcare Failure Mode and Effect Analysis / statistics & numerical data; Humans; Likelihood Functions; Models, Statistical; Regression Analysis; Wilms Tumor / diagnosis; Wilms Tumor / pathology
topics (OpenAlex): Statistical Methods and Inference; Statistical Distribution Estimation and Applications; Statistical Methods and Bayesian Inference
TL;DR: An efficient likelihood-based estimation method for the accelerated failure time model under case-cohort and nested case-control designs is proposed and it is shown that the proposed estimators for the regression coefficients are consistent and asymptotically normal. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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