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Citing this Article

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Published on 11.09.14 in Vol 16, No 9 (2014): September

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

Works citing "Applying Computer Adaptive Testing to Optimize Online Assessment of Suicidal Behavior: A Simulation Study"

Derek Paul De Beurs, Anton LM de Vries, Marieke H de Groot, Jos de Keijser, Ad JFM Kerkhof

J Med Internet Res 2014 (Sep 11); 16(9):e207 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3511):

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

  1. Li X, Ding S, Lin J, Hua Y, Dong F, Du Y, Shen J, Xia N, Zhu Z, Wang X, Zheng R, Xu H. Validation of the Chinese version of the Scale for Suicide Ideation-Worst in adult patients with epilepsy. Epilepsy & Behavior 2019;101:106586
    CrossRef
  2. De Beurs D, Fried E, Wetherall K, Cleare S, O’ Connor D, Ferguson E, O'Carroll R, O’ Connor R. Exploring the psychology of suicidal ideation: A theory driven network analysis. Behaviour Research and Therapy 2019;120:103419
    CrossRef
  3. Peute L, Scheeve T, Jaspers M. Classification and Regression Tree and Computer Adaptive Testing in Cardiac Rehabilitation: Instrument Validation Study. Journal of Medical Internet Research 2020;22(1):e12509
    CrossRef
  4. van Mens K, de Schepper C, Wijnen B, Koldijk SJ, Schnack H, de Looff P, Lokkerbol J, Wetherall K, Cleare S, C O'Connor R, de Beurs D. Predicting future suicidal behaviour in young adults, with different machine learning techniques: A population-based longitudinal study. Journal of Affective Disorders 2020;271:169
    CrossRef
  5. Magnée T, de Beurs DP, Terluin B, Verhaak PF. Applying Computerized Adaptive Testing to the Four-Dimensional Symptom Questionnaire (4DSQ): A Simulation Study. JMIR Mental Health 2017;4(1):e7
    CrossRef
  6. Katz C, Randall JR, Sareen J, Chateau D, Walld R, Leslie WD, Wang J, Bolton JM. Predicting suicide with the SAD PERSONS scale. Depression and Anxiety 2017;34(9):809
    CrossRef
  7. Forkmann T, Teismann T, Stenzel J, Glaesmer H, de Beurs D. Defeat and entrapment: more than meets the eye? Applying network analysis to estimate dimensions of highly correlated constructs. BMC Medical Research Methodology 2018;18(1)
    CrossRef
  8. de Beurs DP, Bosmans JE, de Groot MH, de Keijser J, van Duijn E, de Winter RF, Kerkhof AJ. Training mental health professionals in suicide practice guideline adherence: Cost-effectiveness analysis alongside a randomized controlled trial. Journal of Affective Disorders 2015;186:203
    CrossRef
  9. Delgado-Gomez D, Baca-Garcia E, Aguado D, Courtet P, Lopez-Castroman J. Computerized Adaptive Test vs. decision trees: Development of a support decision system to identify suicidal behavior. Journal of Affective Disorders 2016;206:204
    CrossRef
  10. Harris KM, Lello OD, Willcox CH. Reevaluating Suicidal Behaviors: Comparing Assessment Methods to Improve Risk Evaluations. Journal of Psychopathology and Behavioral Assessment 2017;39(1):128
    CrossRef
  11. Chien T, Lin W. Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes. JMIR Medical Informatics 2016;4(1):e8
    CrossRef
  12. Chien T, Lin W. Simulation study of activities of daily living functions using online computerized adaptive testing. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  13. Chien T, Shao Y, Kuo S. Development of a Microsoft Excel tool for one-parameter Rasch model of continuous items: an application to a safety attitude survey. BMC Medical Research Methodology 2017;17(1)
    CrossRef
  14. de Beurs DP, Fokkema M, de Groot MH, de Keijser J, Kerkhof AJ. Longitudinal measurement invariance of the Beck Scale for Suicide Ideation. Psychiatry Research 2015;225(3):368
    CrossRef
  15. Meerwijk EL, Weiss SJ. Does suicidal desire moderate the association between frontal delta power and psychological pain?. PeerJ 2016;4:e1538
    CrossRef
  16. de Beurs DP, van Borkulo CD, O'Connor RC. Association between suicidal symptoms and repeat suicidal behaviour within a sample of hospital-treated suicide attempters. BJPsych Open 2017;3(3):120
    CrossRef
  17. Delgado-Gómez D, Laria JC, Ruiz-Hernández D. Computerized adaptive test and decision trees: A unifying approach. Expert Systems with Applications 2019;117:358
    CrossRef
  18. Guan L, Hao B, Cheng Q, Yip PS, Zhu T. Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model. JMIR Mental Health 2015;2(2):e17
    CrossRef
  19. Djaja N, Janda M, Olsen CM, Whiteman DC, Chien T. Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing. Journal of Medical Internet Research 2016;18(1):e22
    CrossRef
  20. Yu C, Lin Y, Lin C, Lin S, Wu JL, Chang S. Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach. Journal of Medical Internet Research 2020;22(6):e18585
    CrossRef
  21. Kliem S, Lohmann A, Mößle T, Brähler E. German Beck Scale for Suicide Ideation (BSS): psychometric properties from a representative population survey. BMC Psychiatry 2017;17(1)
    CrossRef
  22. de Beurs DP, Fokkema M, O’Connor RC. Optimizing the assessment of suicidal behavior: The application of curtailment techniques. Journal of Affective Disorders 2016;196:218
    CrossRef
  23. Franco-Martín MA, Muñoz-Sánchez JL, Sainz-de-Abajo B, Castillo-Sánchez G, Hamrioui S, de la Torre-Díez I. A Systematic Literature Review of Technologies for Suicidal Behavior Prevention. Journal of Medical Systems 2018;42(4)
    CrossRef
  24. Weiner S, Hoppe J, Finkelman M. Techniques to Shorten a Screening Tool for Emergency Department Patients. Western Journal of Emergency Medicine 2019;20(5)
    CrossRef
  25. Spangenberg L, Teismann T, Forkmann T, Rath D, Schönfelder A, Paashaus L, Juckel G, Stengler K, Glaesmer H. Psychometrische Eigenschaften und Faktorstruktur der deutschen Version der Beck-Suizidgedanken-Skala (BSS): Validierung an einer Stichprobe psychiatrischer Patienten. PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie 2020;70(09/10):405
    CrossRef
  26. Rassy J, Bardon C, Dargis L, Côté L, Corthésy-Blondin L, Mörch C, Labelle R. Information and Communication Technology Use in Suicide Prevention: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25288
    CrossRef
  27. Boudreaux ED, Rundensteiner E, Liu F, Wang B, Larkin C, Agu E, Ghosh S, Semeter J, Simon G, Davis-Martin RE. Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions. Frontiers in Psychiatry 2021;12
    CrossRef
  28. Kurisu K, Hashimoto M, Ishizawa T, Shibayama O, Inada S, Fujisawa D, Inoguchi H, Shimoda H, Inoue S, Ogawa A, Akechi T, Shimizu K, Uchitomi Y, Matsuyama Y, Yoshiuchi K. Development of computer adaptive testing for measuring depression in patients with cancer. Scientific Reports 2022;12(1)
    CrossRef
  29. Yang T, Chien T, Lai F. Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study. JMIR Medical Informatics 2022;10(3):e33006
    CrossRef
  30. Abal FJP, Sánchez González JF, Lozzia GS, Attorresi HF. Escala de Desesperanza de Beck (BHS): ventajas de una administración adaptativa. Revista Iberoamericana de Psicología 2020;14(1):71
    CrossRef
  31. Podlogar MC, Gutierrez PM, Osman A. Optimizing the Beck Scale for Suicide Ideation: An Item Response Theory Approach Among U.S. Military Personnel. Assessment 2023;30(4):1321
    CrossRef
  32. Harris KM, Wang L, Mu GM, Lu Y, So C, Zhang W, Ma J, Liu K, Wang W, Zhang MW, Ho RC, Arias SA. Measuring the suicidal mind: The ‘open source’ Suicidality Scale, for adolescents and adults. PLOS ONE 2023;18(2):e0282009
    CrossRef
  33. Demir C, French BF. Applicability and Efficiency of a Computerized Adaptive Test for the Washington Assessment of the Risks and Needs of Students. Assessment 2023;30(1):238
    CrossRef
  34. Burn A, Ford TJ, Stochl J, Jones PB, Perez J, Anderson JK. Developing a Web-Based App to Assess Mental Health Difficulties in Secondary School Pupils: Qualitative User-Centered Design Study. JMIR Formative Research 2022;6(1):e30565
    CrossRef
  35. Morales-Vives F, Ferrando PJ, Dueñas J. Should suicidal ideation be regarded as a dimension, a unipolar trait or a mixture? A model-based analysis at the score level. Current Psychology 2023;42(25):21397
    CrossRef
  36. Rosen A, Moore T, Calkins M, Gur R, Gur R. Effects of Skip-Logic on the Validity of Dimensional Clinical Scores: A Simulation Study. Psychopathology 2019;52(6):358
    CrossRef
  37. Scanferla E, de Bienassis K, Pachoud B, Gorwood P. How subjective well-being, patient-reported clinical improvement (PROMs) and experience of care (PREMs) relate in an acute psychiatric care setting?. European Psychiatry 2023;66(1)
    CrossRef
  38. Fried EI, Proppert RKK, Rieble CL. Building an early warning system for depression: Rationale, objectives, and methods of the WARN-D study. Clinical Psychology in Europe 2023;5(3)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3511):

  1. de Winter R, de Beurs D. Behandeling van suïcidaal gedrag in de praktijk van de GGZ. 2016. Chapter 17:263
    CrossRef
  2. Sunderland M, Batterham P, Calear A, Carragher N. The Cambridge Handbook of Clinical Assessment and Diagnosis. 2019. 19:263
    CrossRef
  3. . Handbook of Research in Educational Communications and Technology. 2020. Chapter 25:521
    CrossRef
  4. Masoner H, ElBassiouny A. The Wiley Encyclopedia of Personality and Individual Differences. 2020. :149
    CrossRef
  5. Masoner H, ElBassiouny A. The Wiley Encyclopedia of Personality and Individual Differences. 2020. :149
    CrossRef
  6. de Winter RFP, Meijer C, de Groot MH. Suicide Risk Assessment and Prevention. 2021. Chapter 67-1:1
    CrossRef
  7. de Winter RFP, Meijer C, de Groot MH. Suicide Risk Assessment and Prevention. 2022. Chapter 67:1123
    CrossRef