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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"

Lian van der Krieke, Ando C Emerencia, Elisabeth H Bos, Judith GM Rosmalen, Harriëtte Riese, Marco Aiello, Sjoerd Sytema, Peter de Jonge

JMIR Res Protoc 2015 (Aug 07); 4(3):e100 

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. Piccirillo ML, Rodebaugh TL. Foundations of idiographic methods in psychology and applications for psychotherapy. Clinical Psychology Review 2019;71:90
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  2. Chevance G, Perski O, Hekler EB. Innovative methods for observing and changing complex health behaviors: four propositions. Translational Behavioral Medicine 2021;11(2):676
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  3. 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
  4. 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
  5. 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
  6. Frumkin MR, Piccirillo ML, Beck ED, Grossman JT, Rodebaugh TL. Feasibility and utility of idiographic models in the clinic: A pilot study. Psychotherapy Research 2021;31(4):520
    CrossRef
  7. 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
  8. 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
  9. 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
  10. 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
  11. van Vugt MK, Broers N. Self-Reported Stickiness of Mind-Wandering Affects Task Performance. Frontiers in Psychology 2016;7
    CrossRef
  12. 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
  13. Piccirillo ML, Beck ED, Rodebaugh TL. A Clinician’s Primer for Idiographic Research: Considerations and Recommendations. Behavior Therapy 2019;50(5):938
    CrossRef
  14. Wright AG, Woods WC. Personalized Models of Psychopathology. Annual Review of Clinical Psychology 2020;16(1):49
    CrossRef
  15. Zuidersma M, Riese H, Snippe E, Booij SH, Wichers M, Bos EH. Single-Subject Research in Psychiatry: Facts and Fictions. Frontiers in Psychiatry 2020;11
    CrossRef
  16. van der Krieke L, Blaauw FJ, Emerencia AC, Schenk HM, Slaets JP, Bos EH, de Jonge P, Jeronimus BF. Temporal Dynamics of Health and Well-Being: A Crowdsourcing Approach to Momentary Assessments and Automated Generation of Personalized Feedback. Psychosomatic Medicine 2017;79(2):213
    CrossRef
  17. Zuidersma M, Lugtenburg A, van Zelst W, Reesink FE, De Deyn PP, Strijkert F, Zuidema SU, Oude Voshaar RC. Temporal dynamics of depression, cognitive performance and sleep in older persons with depressive symptoms and cognitive impairments: a series of eight single-subject studies. International Psychogeriatrics 2022;34(1):47
    CrossRef
  18. Scholten S, Lischetzke T, Glombiewski J. Integrating theory-based and data-driven methods to case conceptualization: A functional analysis approach with ecological momentary assessment. Psychotherapy Research 2022;32(1):52
    CrossRef
  19. Wijbenga RA, Blaauw FJ, Janus SIM, Tibben C, Smits AE, Oude Voshaar RC, Zuidema SU, Zuidersma M. Individual differences in the temporal relationship between sleep and agitation: a single-subject study in nursing home residents with dementia experiencing sleep disturbance and agitation. Aging & Mental Health 2022;26(8):1669
    CrossRef
  20. Harnas SJ, Knoop H, Booij SH, Braamse AM. Personalizing cognitive behavioral therapy for cancer-related fatigue using ecological momentary assessments followed by automated individual time series analyses: A case report series. Internet Interventions 2021;25:100430
    CrossRef
  21. Harnas SJ, Knoop H, Bennebroek Evertsz F, Booij SH, Dekker J, van Laarhoven HWM, van der Lee M, Meijer E, Sharpe L, Sprangers MAG, van Straten A, Zweegman S, Braamse AMJ. Personalized versus standard cognitive behavioral therapy for fear of cancer recurrence, depressive symptoms or cancer-related fatigue in cancer survivors: study protocol of a randomized controlled trial (MATCH-study). Trials 2021;22(1)
    CrossRef
  22. Amon MJ, Mattingly S, Necaise A, Mark G, Chawla N, Dey A, D'mello S. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers. ACM Transactions on Computing for Healthcare 2022;3(3):1
    CrossRef
  23. Kramer G, Bos EH, Edwards MJ, Tijssen MA, Rosmalen JG. Daily fluctuations of negative affect are only weakly associated with tremor symptoms in functional and organic tremor patients. Journal of Psychosomatic Research 2021;150:110627
    CrossRef
  24. Tieks A, Oude Voshaar RC, Zuidersma M. Daily associations between affect and cognitive performance in older adults with depression and cognitive impairment: a series of seven single-subject studies in the Netherlands. BMC Geriatrics 2022;22(1)
    CrossRef
  25. Punzi C, Petti M, Tieri P, Calcagnì A. Network-based methods for psychometric data of eating disorders: A systematic review. PLOS ONE 2022;17(10):e0276341
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  26. Pouwels JL, Valkenburg PM, Beyens I, van Driel II, Keijsers L. Some socially poor but also some socially rich adolescents feel closer to their friends after using social media. Scientific Reports 2021;11(1)
    CrossRef
  27. Chui H, Diehl M. Gratitude and loneliness in daily life across the adult lifespan. Current Psychology 2023;42(14):11793
    CrossRef
  28. Schneider S, Junghaenel DU, Smyth JM, Fred Wen CK, Stone AA. Just-in-time adaptive ecological momentary assessment (JITA-EMA). Behavior Research Methods 2023;56(2):765
    CrossRef
  29. Hermanns N, Ehrmann D, Shapira A, Kulzer B, Schmitt A, Laffel L. Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes. Diabetologia 2022;65(11):1883
    CrossRef
  30. Kaurin A, Dombrovski AY, Hallquist MN, Wright AG. Integrating a functional view on suicide risk into idiographic statistical models. Behaviour Research and Therapy 2022;150:104012
    CrossRef
  31. Harnas SJ, Booij SH, Csorba I, Nieuwkerk PT, Knoop H, Braamse AMJ. Which symptom to address in psychological treatment for cancer survivors when fear of cancer recurrence, depressive symptoms, and cancer-related fatigue co-occur? Exploring the level of agreement between three systematic approaches to select the focus of treatment. Journal of Cancer Survivorship 2023;
    CrossRef
  32. Klocek A, Řiháček T. The associations between interoceptive awareness, emotion regulation, acceptance, and well-being in patients receiving multicomponent treatment: a dynamic panel network model. Research in Psychotherapy: Psychopathology, Process and Outcome 2023;26(2)
    CrossRef
  33. Norris LA, Rabner JC, Crane ME, Cervin M, Ney JS, Benito KG, Kendall PC, Frank HE. What caregivers like the most (and least) about cognitive behavioral therapy for youth anxiety: A mixed methods approach. Journal of Anxiety Disorders 2023;98:102742
    CrossRef
  34. Gunsilius CZ, Heffner J, Bruinsma S, Corinha M, Cortinez M, Dalton H, Duong E, Lu J, Omar A, Owen LLW, Roarr BN, Tang K, Petzschner FH. SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment. JMIR mHealth and uHealth 2024;12:e47177
    CrossRef
  35. . The ‘discontinuity hypothesis’ of depression in later life—clinical and research implications. Age and Ageing 2023;52(12)
    CrossRef
  36. Pooseh S, Kalisch R, Köber G, Binder H, Timmer J. Intraindividual time-varying dynamic network of affects: linear autoregressive mixed-effects models for ecological momentary assessment. Frontiers in Psychiatry 2024;15
    CrossRef
  37. Scholten S, Rubel JA, Glombiewski JA, Milde C. What time-varying network models based on functional analysis tell us about the course of a patient's problem. Psychotherapy Research 2024;:1
    CrossRef

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

  1. Ntekouli M, Spanakis G, Waldorp L, Roefs A. Advances in Intelligent Data Analysis XX. 2022. Chapter 16:199
    CrossRef