Trang Quynh Nguyen

New York State Department of Health — United States

Mathematics · Physical Sciences

21h-index1.4kcitations97works3.12yr avg
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Research Topics

Advanced Causal Inference Techniques(34), HIV/AIDS Research and Interventions(20), Statistical Methods and Bayesian Inference(18), HIV, Drug Use, Sexual Risk(11), Statistical Methods and Inference(9)

Publications97 total

Demystifying Proximal Causal Inference
arXiv (Cornell University)·2025Open Access
Demystifying Proximal Causal Inference
ArXiv.org·2025Open Access
Precision mental health: predicting heterogeneous treatment effects for depression through data integration
Journal of the Royal Statistical Society Series C (Applied Statistics)·2025Open Access
Large Language Models to Estimate CGI-S From Clinical Notes as a Measure of Depression Severity (Preprint)
2025Open Access
The challenges of integrating diverse data sources: A case study in major depression
Health Services and Outcomes Research Methodology·2025· 1 citedOpen Access
Large Language Models for Full-Text Methods Assessment: A Case Study on Mediation Analysis
arXiv (Cornell University)·2025Open Access
Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
arXiv (Cornell University)·2025Open Access
Cocaine craving and use during pharmacotherapy trials for cocaine use disorder: A multi-trajectory analysis
Drug and Alcohol Dependence·2025Open Access
Do Communities Implementing the Communities That HEAL Intervention Have Significantly Lower Rates of High-Risk Opioid Prescribing and Dispensing?
AJPM Focus·2025Open Access
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
arXiv (Cornell University)·2025Open Access
Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments
Drug and Alcohol Dependence·2025
Trajectories of Craving in the Course of Pharmacotherapy Trials for Methamphetamine Use Disorder
Drug and Alcohol Dependence·2025
Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments
International Journal of Methods in Psychiatric Research·2024· 1 citedOpen Access
Self-separated and self-connected models for mediator and outcome missingness in mediation analysis
arXiv (Cornell University)·2024Open Access
In defense of MAR over latent ignorability (or latent MAR) for outcome missingness in studying principal causal effects: a causal graph view
arXiv (Cornell University)·2024Open Access
Trajectories of craving in the course of pharmacotherapy trials for methamphetamine use disorder
Addiction·2024· 2 citedOpen Access
Interruptions in HIV Prevention and Treatment During the COVID-19 Pandemic: A Cross-Sectional Study of Transgender and Gender Nonbinary Adults in the United States
UNC Libraries·2024Open Access
Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects
Statistics in Medicine·2024· 3 citedOpen Access
Multiple imputation for propensity score analysis with covariates missing at random: some clarity on “<i>within</i>” and “<i>across</i>” methods
American Journal of Epidemiology·2024· 6 citedOpen Access
Practical challenges in mediation analysis: a guide for applied researchers
Health Services and Outcomes Research Methodology·2024· 47 citedOpen Access
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Frequent Co-authors

Elizabeth A. Stuart(20), Amy R. Knowlton(12), Mary M. Mitchell(8), Ian Schmid(7), Danielle German(5), Elizabeth L. Ogburn(5), Sarina R. Isenberg(5), Karen Bandeen‐Roche(4), Allysha C. Robinson(4), Paul A. Lindahl(3), Allysha C. Maragh‐Bass(3), Hwanhee Hong(3), David Lenis(2), Nianbo Dong(2), Cyrus Ebnesajjad(2), Stephen R. Cole(2), Judith Bass(2), Ina M. Koning(2), Benjamin Ackerman(2), María Carrasco(2)