Gheorghe Luta

Professor

Georgetown University Medical Center

United States

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Gheorghe Luta is a Professor at Georgetown University Medical Center in the United States. His research areas focus on health disparities, tobacco control, and statistical methodologies in epidemiological studies, as evidenced by his recent publications. He has contributed to the understanding of treatment effects in chronic inflammatory diseases and the development of assessment measures for treatment side effects. Additionally, his work includes innovative approaches in data analysis and modeling for public health interventions.

Articles (17)

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2025

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2022

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2022

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2021

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2021

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2021

Collaborators (8)

Caroline Moos

Copenhagen University Hospital

DENMARK

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David MacKinnon

Regents' and Foundation Professor

Arizona State University

UNITED STATES

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Joseph Macisco

Assistant Professor

Wright State University

UNITED STATES

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Roxanne Jensen

National Cancer Institute

UNITED STATES

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Vibeke Andersen

DENMARK

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Raymond Niaura

New York University

UNITED STATES

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Kathryn L Taylor

Georgetown University Medical Center

UNITED STATES

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Alana M Rojewski

Medical University of South Carolina

UNITED STATES

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Gheorghe Luta

Research Interests

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About

Articles (17)

On board with COMET to improve omics prediction models

Generalized Inference for Mediation Analysis

Salivary, lacrimal and nasal (SALANS) measure to assess side effects following radioactive iodine treatment: development, psychometric properties, and factor structure

Impact of trial attrition rates on treatment effect estimates in chronic inflammatory diseases: A meta‐epidemiological study

A multilevel intervention in pediatric primary care for youth tobacco control: Outcomes of implementing an Ask, Advise, and Connect model

A Comparison of Statistical Methods to Construct Confidence Intervals and Fiducial Intervals for Measures of Health Disparities

Inequalities in Violent Death across Income Levels among Young Males and Females in Countries of the Americas

On Rank Selection in Non-Negative Matrix Factorization Using Concordance

A Randomized Trial of Telephone-Based Smoking Cessation Treatment in the Lung Cancer Screening Setting

A Pilot Study on the Use of Generative Adversarial Networks for Data Augmentation of Time Series

Prediction intervals for Poisson‐based regression models

Improved motivation and readiness to quit shortly after lung cancer screening: Evidence for a teachable moment

Lung cancer screening use and implications of varying eligibility criteria by race and ethnicity: 2019 Behavioral Risk Factor Surveillance System data

Engaging Patients in Smoking Cessation Treatment within the Lung Cancer Screening Setting: Lessons Learned from an NCI SCALE Trial

A New Method to Compare the Interpretability of Rule-Based Algorithms

Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization

Predictors of Enrollment of Older Smokers in Six Smoking Cessation Trials in the Lung Cancer Screening Setting: The Smoking Cessation at Lung Examination (SCALE) Collaboration

Collaborators (8)

Caroline Moos

David MacKinnon

Joseph Macisco

Roxanne Jensen

Vibeke Andersen

Raymond Niaura

Kathryn L Taylor

Alana M Rojewski

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