This paper is in the following e-collection/theme issue:

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (498) New Methods (959) Statistical Methods (23)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26749, first published .
Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses

Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses

Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses

Authors of this article:

Simon B Goldberg1, 2 Author Orcid Image ;   Daniel M Bolt3 Author Orcid Image ;   Richard J Davidson2, 4, 5 Author Orcid Image
Article Authors Cited by (24) Tweetations (7) Metrics

Journals

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  2. Lam S, Kirvin-Quamme A, Goldberg S. Overall and Differential Attrition in Mindfulness-Based Interventions: a Meta-Analysis. Mindfulness 2022;13(11):2676 View
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  8. Maciejewski J, Smoktunowicz E. Low-effort internet intervention to reduce students' stress delivered with Meta's Messenger chatbot (Stressbot): A randomized controlled trial. Internet Interventions 2023;33:100653 View
  9. Hernández-Pacheco R, Steiner U, Rosati A, Tuljapurkar S. Advancing methods for the biodemography of aging within social contexts. Neuroscience & Biobehavioral Reviews 2023;153:105400 View
  10. Jabir A, Lin X, Martinengo L, Sharp G, Theng Y, Tudor Car L. Attrition in Conversational Agent–Delivered Mental Health Interventions: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e48168 View
  11. Bourguignon L, Lukas L, Guest J, Geisler F, Noonan V, Curt A, Brüningk S, Jutzeler C. Studying missingness in spinal cord injury data: challenges and impact of data imputation. BMC Medical Research Methodology 2024;24(1) View
  12. Carfora V, Catellani P. Environmental messages to promote sustainable seafood choices: An exploratory mobile app intervention. Journal of Environmental Psychology 2024;94:102255 View
  13. Fowler C, Cai X, Baker J, Onnela J, Valeri L. Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. Journal of the Royal Statistical Society Series C: Applied Statistics 2024;73(3):755 View
  14. Ozyazgan L, Fierro L, Mankatala S, Mendoza S, Cummins K. Relationships Between Protocol Features and Engagement Rates in Studies of Youth Substance Use Using Mobile Technology. Journal of Technology in Behavioral Science 2024;9(4):895 View
  15. Baee S, Eberle J, Baglione A, Spears T, Lewis E, Behan H, Wang H, Funk D, Teachman B, E Barnes L. Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: Machine Learning Study (Preprint). JMIR Mental Health 2023 View
  16. Ulrich S, Lienhard N, Künzli H, Kowatsch T. A Chatbot-Delivered Stress Management Coaching for Students (MISHA App): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e54945 View
  17. Bourke M, Bruijns B, Vanderloo L, Irwin J, Heydon R, Carson V, Naylor P, Johnson A, Adamo K, Burke S, Timmons B, Tucker P. The efficacy of the TEACH e-Learning course at improving early childhood educators’ physical activity and sedentary behaviour self-efficacy, knowledge, intentions, and perceived behavioural control: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  18. Goldberg S, Kendall A, Hirshberg M, Dahl C, Nahum-Shani I, Davidson R, Bray B. Is Dosage of a Meditation App Associated With Changes in Psychological Distress? It Depends on How You Ask. Clinical Psychological Science 2024 View
  19. Yan Y, Sankar B, Mirza B, Ng D, Pelletier A, Huang S, Wang W, Watson K, Wang D, Ping P. Missing Values in Longitudinal Proteome Dynamics Studies: Making a Case for Data Multiple Imputation. Journal of Proteome Research 2024;23(9):4151 View
  20. Pham H, Do T, Baek J, Nguyen C, Pham Q, Nguyen H, Goldberg R, Pham Q, Giang L. Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis. JMIR Public Health and Surveillance 2024;10:e53719 View
  21. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  22. De La Torre S, El Mistiri M, Hekler E, Klasnja P, Marlin B, Pavel M, Spruijt-Metz D, Rivera D. Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach. Journal of Biomedical Informatics 2024;158:104721 View
  23. Musial S, Burns Z, Bertman J, Fitzgibbon M, Mashek R, Risica P. One Month Whole Food Plant-Based Nutrition Educational Program Lowers LDL, A1C, and Decreases Inflammatory Markers. American Journal of Lifestyle Medicine 2024 View
  24. Sîrbu V, David O. Efficacy of app-based mobile health interventions for stress management: A systematic review and meta-analysis of self-reported, physiological, and neuroendocrine stress-related outcomes. Clinical Psychology Review 2024;114:102515 View