Emily Hébert

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Assistant Professor

The University of Texas Health Science Center at Houston

United States

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About

Emily Hébert is an Assistant Professor at The University of Texas Health Science Center at Houston. Her research primarily focuses on smoking cessation, mobile health applications, and data integrity in digital health interventions. Recent publications include studies on smartphone applications aimed at reducing anxiety sensitivity for Black adults and analyses of ecological momentary assessment practices. She also explores best practices for tobacco use cessation among various populations.

Recent Grants

Grant: Close

Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation

Open Date: 2019-03-01

Close Date: 2021-02-28

Grant: Close

Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation

Open Date: 2019-03-01

Close Date: 2023-11-30

Grant: Close

Using Mobile Technology to Track Exposure and Use of New Tobacco Products

Open Date: 2014-05-01

Close Date: 2015-08-01

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UNITED STATES

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Assistant Professor of Research in Biostatistics

University of Oklahoma Health Sciences Center

UNITED STATES

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Emily Hébert

Research Interests

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About

Recent Grants

Articles (20)

A proof-of-concept trial of a smoking cessation and anxiety sensitivity reduction smartphone application for Black adults

Adapting a Mobile Health App for Smoking Cessation in Black Adults With Anxiety Through an Analysis of the Mobile Anxiety Sensitivity Program Proof-of-Concept Trial: Qualitative Study

Detecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study

Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment

Factors Associated With Successful E-Cigarette Cessation Among a Convenience Sample of Adult Users

Does the relationship between affect and social interactions among adults experiencing homelessness differ during moments when at a shelter versus not?

Categorizing E-cigarette-related tweets using BERT topic modeling

Knowledge, behaviours, and barriers regarding tobacco use cessation guidelines by musculoskeletal clinicians

E-Cigarette Quit Attempts and Experiences in a Convenience Sample of Adult Users

Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.

Varenicline Combined with Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: A Pilot and Feasibility Study (Preprint)

Associations Between Exposure to The Real Cost Campaign, Pro-Tobacco Advertisements, and Tobacco Use Among Youth in the U.S.

Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness

Adolescent Susceptibility to E-Cigarettes: An Update From the 2018 National Youth Tobacco Survey

Ecological Momentary Assessment of Alcohol Consumption and Its Concordance with Transdermal Alcohol Detection and Timeline Follow-Back Self-report Among Adults Experiencing Homelessness

Evaluating the feasibility and acceptability of a mobile-based health technology for smoking cessation: Mobile Anxiety Sensitivity Program

Identifying mechanisms that link pain to smoking relapse during a quit attempt

Predicting the first smoking lapse during a quit attempt: A machine learning approach

Subjective social status is indirectly associated with short-term smoking cessation through nicotine withdrawal symptoms

Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review

Collaborators (13)

Michael C. Robertson

Jasjit Ahluwalia

Lizbeth Benson

Tianchen Qian

Michael Businelle

Sarah Tonkin

Seth J. Schwartz

Eric B Hekler

Lourdes Planas

Eun-Young Mun

Alexandra Loukas

Dingjing Shi

Summer Frank-Pearce

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