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

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
  14. Marks T, Metelmann B, Brinkrolf P, Thies K, Hahnenkamp K, Metelmann C. An app to keep: smartphone-based dispatch of community first responder to cardiac arrest. BMC Cardiovascular Disorders 2025;25(1) View
  15. Gao J, Wei H. The battle between channel distribution and traffic purchases: a perspective of the mobile application market. Operational Research 2025;25(2) View
  16. Winter M, Probst T, Keil T, Pryss R. A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users. npj Digital Medicine 2025;8(1) View
  17. Ding X, Holsti L, Schmidt J, Parde N, Sakakibara B, Barbic S. “You can’t categorize lived experiences”: Understanding youth engagement in mobile health in an integrated youth services setting. DIGITAL HEALTH 2025;11 View
  18. Ding X, Marchand K, Holsti L, Schmidt J, Parde N, Sakakibara B, Barbic S. Unlocking mobile health adoption: A qualitative exploration of user experiences, barriers, and facilitators within integrated youth services in British Columbia, Canada. DIGITAL HEALTH 2025;11 View

Conference Proceedings

  1. Ganguly R, Dasari N. 2024 International Conference on TVET Excellence & Development (ICTeD). Comparative Study Of AI-Driven Ed-Tech Applications: Insights From Google Play Store Data View
  2. Ramadhan G, Adiva S, Susanto J, Heripracoyo S. 2025 IEEE 15th Symposium on Computer Applications & Industrial Electronics (ISCAIE). Analyzing the Influence of Gamification Features on User Retention in Duolingo View