Abstract
No public abstract is available from the verified source records.
Bernhard T Baune
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
pubmed
Confidence 98%
unpaywall
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report
10.1176/ajp.2006.163.11.1905 · 2006
Reproducible brain-wide association studies require thousands of individuals
10.1038/s41586-022-04492-9 · 2022
Prediction models for suicide attempts and deaths: a systematic review and simulation
10.1001/jamapsychiatry.2019.0174 · 2019
Can we usefully stratify patients according to suicide risk?
2017
Assessment of suicide risk in mental health practice: shifting from prediction to therapeutic assessment, formulation, and risk management
10.1016/s2215-0366(22)00232-2 · 2022
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
10.7326/m14-0697 · 2015
PROBAST: a tool to assess the risk of bias and applicability of prediction model studies
10.7326/m18-1376 · 2019
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
10.1136/bmj-2024-082505 · 2025
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
10.1038/s41591-020-1037-7 · 2020
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
10.1038/s41591-020-1034-x · 2020
Decision curve analysis: a novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006
Calibration: the Achilles heel of predictive analytics
10.1186/s12916-019-1466-7 · 2019
Calibration of risk prediction models: impact on decision-analytic performance
10.1177/0272989x14547233 · 2015
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
10.1136/bmj.39489.470347.ad · 2008
GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction
2016
GRADE Guidelines: 16. GRADE evidence to decision frameworks for tests in clinical practice and public health
10.1016/j.jclinepi.2016.01.032 · 2016
GRADE Guidelines 28: use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks
10.1016/j.jclinepi.2019.12.023 · 2020
Unresolved referenced work
2016
Precision psychiatry roadmap: towards a biology-informed framework for mental disorders
10.1038/s41380-025-03070-5 · 2025
An experimental design for the development of adaptive treatment strategies
10.1002/sim.2022 · 2005
The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions
10.1016/j.amepre.2007.01.022 · 2007
A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers
10.1001/2013.jamapsychiatry.4 · 2013
Should inflammation be a specifier for major depression in the DSM-6?
10.1001/jamapsychiatry.2025.0206 · 2025
Functional connectivity of the subcallosal cingulate cortex and differential outcomes to treatment with cognitive-behavioral therapy or antidepressant medication for major depressive disorder
10.1176/appi.ajp.2016.16050518 · 2017
Reward related ventral striatal activity and differential response to sertraline versus placebo in depressed individuals
10.1038/s41380-019-0490-5 · 2020
Efficacy and safety of aticaprant, a kappa receptor antagonist, adjunctive to oral SSRI/SNRI antidepressant in major depressive disorder: results of a phase 2 randomized, double-blind, placebo-controlled study
10.1038/s41386-024-01862-x · 2024
Psychotic relapse prediction via biomarker monitoring: a systematic review
10.3389/fpsyt.2024.1463974 · 2024
Digital phenotyping for monitoring mental disorders: a systematic review
10.2196/46778 · 2023
Privacy-preserving federated model predicting bipolar transition in patients with depression: prediction model development study
10.2196/46165 · 2023
The new field of ‘precision psychiatry’
10.1186/s12916-017-0849-x · 2017
Candidate biomarkers in psychiatric disorders: state of the field
10.1002/wps.21078 · 2023
Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
10.1038/s41380-022-01528-4 · 2022
A framework to rank genomic alterations as targets for cancer precision medicine: the ESMO scale for clinical actionability of molecular targets (ESCAT)
10.1093/annonc/mdy263 · 2018
Implementing the European Society for Medical Oncology Scale for Clinical Actionability of Molecular Targets in a comprehensive profiling program: impact on precision medicine oncology
2022
GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research
2017
No additional external references are available.