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

Evaluation and Research Methodology for mHealth (208) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16309, first published .
Assessing User Retention of a Mobile App: Survival Analysis

Assessing User Retention of a Mobile App: Survival Analysis

Assessing User Retention of a Mobile App: Survival Analysis

Authors of this article:

Yu-Hsuan Lin1, 2, 3, 4 Author Orcid Image ;   Si-Yu Chen1 Author Orcid Image ;   Pei-Hsuan Lin5 Author Orcid Image ;   An-Shun Tai5 Author Orcid Image ;   Yuan-Chien Pan1 Author Orcid Image ;   Chang-En Hsieh1 Author Orcid Image ;   Sheng-Hsuan Lin5 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Lin Y, Lin K, Pan Y, Lin S. Investigation of the Role of Anxiety and Depression on the Formation of Phantom Vibration and Ringing Syndrome Caused by Working Stress during Medical Internship. International Journal of Environmental Research and Public Health 2020;17(20):7480 View
  2. Alhussein G, Hadjileontiadis L. Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32557 View
  3. Chen I, Chen Y, Liao S, Lin Y. Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis. Journal of Personalized Medicine 2022;12(6):936 View
  4. Leong Q, Sridhar S, Blasiak A, Tadeo X, Yeo G, Remus A, Ho D. Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores. Journal of Medical Internet Research 2022;24(2):e27388 View
  5. Miftahova A, Yangirov E, Karaseva E, Yangirov A, Nikulina E. Overview and grouping of evaluation criteria for the effectiveness of mobile applications. Herald of Dagestan State Technical University. Technical Sciences 2023;49(4):134 View
  6. García-Estela A, Cantillo J, Angarita-Osorio N, Mur-Milà E, Anmella G, Pérez V, Vieta E, Hidalgo-Mazzei D, Colom F. Real-world Implementation of a Smartphone-Based Psychoeducation Program for Bipolar Disorder: Observational Ecological Study. Journal of Medical Internet Research 2022;24(2):e31565 View
  7. Kowal A, Wojczuk M, Grabowska M, Szaran J, Kowal M, Pawłowicz-Szlarska E, Pęczek-Bartyzel K, Nowicki M. Activity and Profile of the Users of a Novel Mobile Application Supporting Proper Diet Among Maintenance Hemodialysis Patients. Journal of Renal Nutrition 2023;33(4):592 View
  8. Liu B, Beheshti M, Naeimi T, Zhu Z, Vedanthan R, Seiple W, Rizzo J. The BLV App Arcade: a new curated repository and evaluation rubric for mobile applications supporting blindness and low vision. Disability and Rehabilitation: Assistive Technology 2024;19(4):1405 View
  9. Zhang H, Hu L, Kim Y. Dispel the Clouds and See the Sun: Influencing Factors and Multiple Paths of User Retention Intention Formation. Behavioral Sciences 2023;13(10):872 View
  10. Chen H, Lu H, Weng W, Lin Y. Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study. Journal of Medical Internet Research 2023;25:e48834 View
  11. Vakkalanka J, Gadag K, Lavin L, Ternes S, Healy H, Merchant K, Scott W, Wiggins W, Ward M, Mohr N. Telehealth Use and Health Equity for Mental Health and Substance Use Disorder During the COVID-19 Pandemic: A Systematic Review. Telemedicine and e-Health 2024;30(5):1205 View
  12. Loder A. Multiple Enrollment Policy: Survival Analyses and Odds of Graduating in at Least One University Degree Program. Trends in Higher Education 2024;3(3):578 View
  13. Tak Y, Lee J, Kim J, Lee Y. Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices. Journal of Medical Internet Research 2024;26:e59444 View