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Citing this Article

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Published on 07.08.15 in Vol 4, No 3 (2015): Jul-Sep

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

Works citing "Ecological Momentary Assessments and Automated Time Series Analysis to Promote Tailored Health Care: A Proof-of-Principle Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.4000):

(note that this is only a small subset of citations)

  1. Chevance G, Perski O, Hekler EB. Innovative methods for observing and changing complex health behaviors: four propositions. Translational Behavioral Medicine 2020;
    CrossRef
  2. Jongeneel A, Aalbers G, Bell I, Fried EI, Delespaul P, Riper H, van der Gaag M, van den Berg D. A time-series network approach to auditory verbal hallucinations: Examining dynamic interactions using experience sampling methodology. Schizophrenia Research 2020;215:148
    CrossRef
  3. Lazarus G, Sened H, Rafaeli E, Guest Editor E. Subjectifying the Personality State: Theoretical Underpinnings and an Empirical Example. European Journal of Personality 2020;
    CrossRef
  4. Lorenz N, Sander C, Ivanova G, Hegerl U. Temporal Associations of Daily Changes in Sleep and Depression Core Symptoms in Patients Suffering From Major Depressive Disorder: Idiographic Time-Series Analysis. JMIR Mental Health 2020;7(4):e17071
    CrossRef
  5. Wright AG, Woods WC. Personalized Models of Psychopathology. Annual Review of Clinical Psychology 2020;16(1):49
    CrossRef
  6. Piccirillo ML, Rodebaugh TL. Foundations of idiographic methods in psychology and applications for psychotherapy. Clinical Psychology Review 2019;71:90
    CrossRef
  7. Piccirillo ML, Beck ED, Rodebaugh TL. A Clinician’s Primer for Idiographic Research: Considerations and Recommendations. Behavior Therapy 2019;50(5):938
    CrossRef
  8. Bastiaansen JA, Meurs M, Stelwagen R, Wunderink L, Schoevers RA, Wichers M, Oldehinkel AJ. Self-monitoring and personalized feedback based on the experiencing sampling method as a tool to boost depression treatment: a protocol of a pragmatic randomized controlled trial (ZELF-i). BMC Psychiatry 2018;18(1)
    CrossRef
  9. Epskamp S, van Borkulo CD, van der Veen DC, Servaas MN, Isvoranu A, Riese H, Cramer AOJ. Personalized Network Modeling in Psychopathology: The Importance of Contemporaneous and Temporal Connections. Clinical Psychological Science 2018;6(3):416
    CrossRef
  10. Bulteel K, Tuerlinckx F, Brose A, Ceulemans E. Improved Insight into and Prediction of Network Dynamics by Combining VAR and Dimension Reduction. Multivariate Behavioral Research 2018;53(6):853
    CrossRef
  11. Bulteel K, Tuerlinckx F, Brose A, Ceulemans E. Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics. Frontiers in Psychology 2016;7
    CrossRef
  12. Krieke LVD, Jeronimus BF, Blaauw FJ, Wanders RB, Emerencia AC, Schenk HM, Vos SD, Snippe E, Wichers M, Wigman JT, Bos EH, Wardenaar KJ, Jonge PD. HowNutsAreTheDutch (HoeGekIsNL): A crowdsourcing study of mental symptoms and strengths. International Journal of Methods in Psychiatric Research 2016;25(2):123
    CrossRef
  13. van Vugt MK, Broers N. Self-Reported Stickiness of Mind-Wandering Affects Task Performance. Frontiers in Psychology 2016;7
    CrossRef