Significant depression*opponent’s rank interaction predicting point stealing. by Anna Szücs (9727824)

Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

Significant interactions between child maltreatment and DNA methylation predicting depressive symptoms. by Maude Comtois-Cabana (14419809)

“…<p>Significant interactions between child maltreatment and DNA methylation predicting depressive symptoms.…”

Predicting factors of depression. by Saifur Rahman Chowdhury (12334373)

Class status with most significant 11 input features. by Umme Marzia Haque (11846815)

Adjusted predicted probability of depression by loneliness category. by Oluwasegun Akinyemi (17087441)

Flowchart for predicting depression severity. by Toheeb Salahudeen (21368040)

“…Notably, including mitochondrial peptides alongside clinical factors significantly enhances predictive capability, shedding light on the interplay between depression severity and mitochondrial oxidative stress pathways. …”

Predicting depression, two-types of depression, behaviors related to depression, and clusters of depressive symptoms from value attached to and frustration of agency/communion, and their interaction.... by Rana B. Kalkan-Cengiz (22486512)

“…<p>Predicting depression, two-types of depression, behaviors related to depression, and clusters of depressive symptoms from value attached to and frustration of agency/communion, and their interaction. …”

Logistic regression predicting the likelihood of reporting meaningful depressive symptoms. by Daniel Walker (178621)

Descriptive statistics of depression, maslach burnout inventory. by Sarah A. Holzgang (16955473)

Predicted probabilities of anxiety, depression, and self-harm, and substance misuse. by Lisa Bornscheuer (20629989)

Data Sheet 1_Clinical significance of NT-proBNP as a predictive biomarker of depressive symptoms in cardiac patients.xlsx by Syeda Humayra (14485367)

“…Therefore, the current systematic review investigated the clinical significance of NT-proBNP as a predictive biomarker in cardiac patients with depressive symptoms.…”

Data frame showing the predictive changes in composition and the predicted change in depressive symptoms. by Hugues Sampasa-Kanyinga (606145)

A low education but literate and living alone was predictive in the SPC-GBM while living alone with significant life events, religion, and family support were predictive in the DI-... by Sri Susanty (14504433)

Baseline depression severity for responders and remitters. by Caoimhe Fenton (11668712)

Subjects:

Predicting negative affect in agency and communion frustration scenarios from value attached to agency and communion. Note. β coefficients in bold indicate significance at p < .05.... by Rana B. Kalkan-Cengiz (22486512)

Living alone with significant life events was positively predictive in the DI-VNN but the opposite if believing in a religion that attracts family activities. by Sri Susanty (14504433)

Predictive model for depression symptom severity. by Jonathan Sserunkuuma (15927205)

“…However, over the past two weeks, life stressors had the highest predictability for depression (35.9%). The final model predicted a total of 51.9% variance for depression symptoms. …”

Demographics that predict severity of undergraduate depression. by Carly A. Busch (12709656)

Significant interaction (time by group) for PPTd. by Einat Kodesh (13132997)