225 results on '"Millner, Alexander J."'
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2. Heterogeneity in suicide risk: Evidence from personalized dynamic models
3. Examining tradeoffs between cognitive effort and relief among adults with self-injurious behavior
4. Real-time digital monitoring of a suicide attempt by a hospital patient
5. Social Support and Nonsuicidal Self-injury among adolescent Psychiatric Inpatients
6. Validation of a novel Psychosis-Implicit Association Test (P-IAT) as a diagnostic support tool
7. Do Patterns and Types of Negative Affect During Hospitalization Predict Short-Term Post-Discharge Suicidal Thoughts and Behaviors?
8. Suicide decision‐making: Differences in proximal considerations between individuals who aborted and attempted suicide.
9. Advancing the Understanding of Suicide: The Need for Formal Theory and Rigorous Descriptive Research
10. Are suicide attempters more impulsive than suicide ideators?
11. Characteristics of self-harm on an adolescent psychiatric inpatient unit based on neurodevelopmental diagnoses
12. Ethical dilemmas posed by mobile health and machine learning in psychiatry research/Les dilemmes ethiques poses par la sante mobile et l'apprentissage automatique dans la recherche en psychiatrie/Los dilemas eticos planteados por la salud movil y el aprendizaje automatico dentro de la investigacion en psiquiatria
13. Relevance of the interpersonal theory of suicide in an adolescent psychiatric inpatient population
14. The dynamics of social support among suicide attempters: A smartphone-based daily diary study
15. Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs
16. Do people know how suicidal they will be? Understanding suicidal prospection.
17. Examining the role of sex in self-injurious thoughts and behaviors
18. Are suicidal thoughts reinforcing? A preliminary real-time monitoring study on the potential affect regulation function of suicidal thinking
19. Classifying nonsuicidal overdoses: Nonsuicidal self-injury, suicide attempts, or neither?
20. Self-Injurious Thoughts and Behaviors
21. Intervening on High-Risk Responses During Ecological Momentary Assessment of Suicidal Thoughts: Is There an Effect on Study Data?
22. Suicidal thinking as affect regulation.
23. Mapping the timescale of suicidal thinking
24. Identifying differences between depressed adolescent suicide ideators and attempters
25. The transdiagnostic structure of mental effort avoidance
26. The classification of suicide gestures: Examining the validity, measurement, and level of intent of a controversial construct
27. Caregiver Engagement During Pediatric Post-Acute Care Hospitalization
28. Risk Factors for the Transition from Suicide Ideation to Suicide Attempt: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
29. Increased severity of mental health symptoms among adolescent inpatients during COVID-19
30. Behavioral and electrophysiological correlates of training-induced cognitive control improvements
31. Consensus Statement on Ethical & Safety Practices for Conducting Digital Monitoring Studies with People at Risk of Suicide and Related Behaviors
32. The classification of suicide gestures: Examining the validity, measurement, and level of intent of a controversial construct.
33. Examining implicit positive affect toward suicide among suicidal and nonsuicidal adults and adolescents
34. Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records
35. Fear of sleep and sleep quality mediate the relationship between trauma exposure and suicide attempt in adolescents
36. sj-pdf-1-cpx-10.1177_2167702620961067 – Supplemental material for Machine Learning to Classify Suicidal Thoughts and Behaviors: Implementation Within the Common Data Elements Used by the Military Suicide Research Consortium
37. sj-pdf-1-cpx-10.1177_2167702621993857 – Supplemental material for Increase in Suicidal Thinking During COVID-19
38. sj-pdf-1-cpx-10.1177_2167702620954216 – Supplemental material for Evidence of Inflated Prediction Performance: A Commentary on Machine Learning and Suicide Research
39. Effect of frequent assessment of suicidal thinking on its incidence and severity: high-resolution real-time monitoring study
40. Machine Learning to Classify Suicidal Thoughts and Behaviors: Implementation Within the Common Data Elements Used by the Military Suicide Research Consortium
41. Increase in Suicidal Thinking During COVID-19
42. A Pilot Study Using Frequent Inpatient Assessments of Suicidal Thinking to Predict Short-Term Postdischarge Suicidal Behavior
43. Inconsistencies in self-reports of suicidal ideation and attempts across assessment methods.
44. Elevated amygdala response to faces and gaze aversion in autism spectrum disorder
45. Suicide Risk--Model
46. Evidence of Inflated Prediction Performance: A Commentary on Machine Learning and Suicide Research
47. Consensus Statement on Ethical & Safety Practices for Conducting Digital Monitoring Studies with People at Risk of Suicide and Related Behaviors
48. Decomposing implicit associations about life and death improves our understanding of suicidal behavior
49. Self-Injurious Thoughts and Behaviors Interview—Revised: Development, reliability, and validity.
50. Frontostriatal Connectivity and Its Role in Cognitive Control in Parent-Child Dyads With ADHD
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