Trajectory of RIA
Using Intensive Longitudinal Data to Study Affective Dynamics
Publications
Nicholas Meyer, Dan W Joyce, Chris Karr, Maarten de Vos, Derk-Jan Dijk, Nicholas C. Jacobson, James H MacCabe.
The Temporal Dynamics of Sleep Disturbance and Psychopathology in Psychosis: A Digital Sampling Study.
Journal of Medical Internet Research (JMIR): Formative Research,
2020.
Gilly Dosovitsky, Blanca S Pineda, Nicholas C. Jacobson, Cyrus Chang, Milagros Escoredo, Eduardo L Bunge.
Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage.
Journal of Medical Internet Research (JMIR): Formative Research,
2020.
Nicholas C. Jacobson, Elad Yom-Tov, Damien Lekkas, Michael Heinz, Lili Liu, Paul J. Barr.
Impact of Online Mental Health Screening Tools on Help-Seeking, Care Receipt, and Suicidal Ideation and Suicidal Intent: Evidence from Internet Search Behavior in a Large U.S. Cohort.
Journal of Psychiatric Research,
2020.
Nicholas C. Jacobson, Yeon Joo Chung.
Passive Sensing of Prediction of Moment-to-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample using Smartphones.
Sensors,
2020.
Benjamin W. Nelson, Carissa A. Low, Nicholas C. Jacobson, Patricia Areán, John Torous, Nicholas B. Allen.
Guidelines for Wrist-Worn Consumer Wearables Assessment of Heart Rate in Biobehavioral Research.
npj Digital Medicine,
2020.
Nicholas C. Jacobson, Damien Lekkas, George Price, Michael V. Heinz, MK Song, A. James O’Malley, Paul J. Barr.
Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders Are Associated With Alterations in Mental Health Search Behavior in the United States.
JMIR Mental Health,
2020.
Michelle G. Newman, Lucas S. LaFreniere, Nicholas C. Jacobson.
Relaxation-induced anxiety: Effects of peak and trajectories of change on treatment outcome for generalized anxiety disorder.
Psychotherapy Research,
2018.
Linying Ji, Sy-Miin Chow, Alice C. Schermerhorn, Nicholas C. Jacobson, Mark Cummings.
Handling missing data in the modeling of intensive longitudinal data.
Structural Equation Modeling,
2018.
Michael J. Roche, Nicholas C. Jacobson.
Elections have consequences for student mental health: An accidental daily diary study.
Psychological Reports,
2018.
Brandon Frank, Nicholas C. Jacobson, Landon Hurley, Dean McKay.
A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics.
Journal of Anxiety Disorders,
2017.
Michael J. Roche, Nicholas C. Jacobson, Aaron L. Pincus.
Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM–5 alternative model of personality disorders.
Journal of Abnormal Psychology,
2016.
Talks
Uncovering When Dynamic Variables Optimally Predict One Another in Intensive Longitudinal Data using Novel Personalized Modeling Strategies
Jun 30, 2021
11:00 AM
The Differential Time-Varying Effect Model (DTVEM): A Tool for Diagnosing Optimal Measurement and Modeling Intervals in Longitudinal Data
Jul 9, 2020
11:00 AM
It's time to ask when: Investigating the timing of dynamics in intensive longitudinal data
Jan 15, 2020
11:00 AM
Compliance Thresholds in Intensive Longitudinal Data: Worse than Listwise Deletion
Jan 14, 2020
11:00 AM