Research field (2)：
Psychiatry
, Applied mathematics and statistics
Research keywords (3)：
longitudinal data analysis
, Bayesian meta-analysis
, Three-mode Principal Component Analysis
Research theme for competitive and other funds (2)：
2022 - 2026 Developing an Evidence-Based Child Suicide Prevention System Using Large Prospective Cohort Data
Predicting treatment outcomes for somatic symptom disorder patients, using machine learning algorithms
Papers (26)：
Jannis Kreienkamp, Maximilian Agostini, Rei Monden, Kai Epstude, Peter de Jonge, Laura F. Bringmann. A Gentle Introduction and Application of Feature-Based Clustering with Psychological Time Series. Multivariate Behavioral Research. 2024
Latent profile analysis of biopsychosocial measures in older patients with (un)explained persistent somatic symptoms. Comprehensive Psychiatry. 2024
Keito Horikawa, Isamu Nagai, Rei Monden, Hirokazu Yanagihara. Estimation Algorithms for MLE of Three-Mode GMANOVA Model with Kronecker Product Covariance Matrix. Smart Innovation, Systems and Technologies. 2023. 352 SIST. 203-213
Rei Monden, Isamu Nagai, Hirokazu Yanagihara. Implications of the Usage of Three-Mode Principal Component Analysis with a Fixed Polynomial Basis. Smart Innovation, Systems and Technologies. 2023. 352 SIST. 214-224
Veronika Odintsova, Hanna van Loo, Steven H. Aggen, Rei Monden, Robert Schoevers, Tineke Oldehinkel, Judith Rosmalen, Kenneth Kendler. 7. THE SNP-HERITABILITY OF INTERNALIZING AND FUNCTIONAL DISORDERS IN THE NORTHERN DUTCH POPULATION. European Neuropsychopharmacology. 2022. 63. e47-e48
