Latent growth mixture models to estimate PTSD trajectories

European Journal of Psychotraumatology

Volumn 6, Issue , 2015, Pages 1-2

  Van De Schoot, Rens ^a,b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b NORTH WEST UNIVERSITY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84977103731     PISSN: None     EISSN: 20008066     Source Type: Journal    
DOI: 10.3402/ejpt.v6.27503     Document Type: Editorial

References (13)

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2. Berntsen, D., Johannessen, K. B., Thomsen, Y. D., Bertelsen, M., Hoyle, R. H., & Rubin, D. C. (2012). Peace and war: Trajectories of posttraumatic stress disorder symptoms before, during, and after military deployment in Afghanistan. Psychological Science, 23(12), 1557-1565.
3. Bonanno, G. A., Mancini, A. D., Horton, J. L., Powell, T. M., LeardMann, C. A., Boyko, E. J., et al. (2012). Trajectories of trauma symptoms and resilience in deployed US military service members: Prospective cohort study. British Journal of Psychiatry, 200(4), 317-323.
4. Depaoli, S., Van de Schoot, R., Van Loey, N., & Sijbrandij, M. (2015). Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: Implementation and discussion. European Journal of Psychotraumatology, 6, 27516, doi: http://dx.doi.org/10.3402/ejpt.v6.27516
5. Forbes, D., Parslow, R., Creamer, M., O’Donnell, M., Bryant, R., McFarlane, A., et al. (2010). A longitudinal analysis of posttraumatic stress disorder symptoms and their relationship with Fear and Anxious-Misery disorders: Implications for DSM-V. Journal of Affective Disorders, 127(1-3), 147-152.
6. Galatzer-Levy, I. (2015). Applications of Latent Growth Mixture Modeling and Allied Methods to Posttraumatic Stress Response Data. European Journal of Psychotraumatology, 6, 27515, doi: http://dx.doi.org/10.3402/ejpt.v6.27515
7. Galatzer-Levy, I. R., Ankri, Y., Freedman, S., Israeli-Shalev, Y., Roitman, P., Gilad, M., et al. (2013). Early PTSD symptom trajectories: Persistence, recovery, and response to treatment: Results from the Jerusalem Trauma Outreach and Prevention Study (J-TOPS). PLoS One, 8(8), e70084.
8. Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882-891. doi: 10.1111/j.1530-0277.2000.tb02070.x.
9. Olff, M. (2015). Quote taken. Retrieved February 5, 2015, from http://www.uu.nl/agenda/symposium-estimating-PTSD-trajectories
10. Mouthaan, J., Sijbrandij, M., De Vries, G. J., Reitsma, J. B., Van de Schoot, R., Goslings, J. C., et al. (2013). Internet-based early intervention to prevent posttraumatic stress disorder in injury patients: Randomized controlled trial. Journal of Medical Internet Research, 15(8), e165. doi: 10.2196/jmir.2460.
11. Van de Schoot, R. (2015). Latent trajectory studies: the basics, how to interpret the results and what to report. European Journal of Psychotraumatology, 6, 27514, doi: http://dx.doi.org/10.3402/ejpt.v6.27514
12. Van de Schoot, R., Broere, J. J., Perryck, K., Zondervan-Zwijnenburg, M., & Van Loey, N. (2015). Analyzing small data sets using Bayesian estimation: the case of posttraumatic stress symptoms following mechanical ventilation in burn survivors. European Journal of Psychotraumatology, 6, 25216, doi: http://dx.doi.org/10.3402/ejpt.v6.25216
13. Van Loey, N. E., Van de Schoot, R., & Faber, A. W. (2012). Posttraumatic stress symptoms after exposure to two fire disasters: Comparative study. PLoS One, 7(7), e41532.