Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty.
- DOI
- 10.1037/met0000872
- Published
- 2026 Oct 1
- Container
- Psychological methods
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1037/met0000872,
title = {Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty.},
author = {Siepe BS and Kloft M and Zhang Y and Petersen F and Bringmann LF and Heck DW},
year = {2026},
journal = {Psychological methods},
doi = {10.1037/met0000872},
url = {https://doi.org/10.1037/met0000872}
}RIS
TY - JOUR TI - Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty. AU - Siepe BS AU - Kloft M AU - Zhang Y AU - Petersen F AU - Bringmann LF AU - Heck DW PY - 2026 JO - Psychological methods DO - 10.1037/met0000872 UR - https://doi.org/10.1037/met0000872 ER -
APA
BS, S., M, K., Y, Z., F, P., LF, B., & DW, H. (2026). Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty.. Psychological methods. https://doi.org/10.1037/met0000872
Source records
- pubmed · retrieved 2026-11-10T11:10:15.831Z