ArticleAssessment2020
The Importance of Calibration in Clinical Psychology.
Article in Assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diagnostic Prediction Models for Depression in Patients With Breast Cancer: A Systematic Review.Journal of clinical nursing · 2026Pooled it
- Assessment of performance of stratum-specific likelihood ratios of the aldosteronoma resolution score for predicting hypertension cure after adrenalectomy for primary aldosteronism: a systematic review and meta-analysis.Journal of human hypertension · 2023Pooled it
- Clinical prediction models for diagnosis of COVID-19 among adult patients: a validation and agreement study.BMC infectious diseases · 2022Pooled it
- Maltreatment-Exposure Screening and Adolescent Mental Health: An Evidence-Based Medicine Perspective on Accuracy and Fairness.Journal of child & adolescent trauma · 2026Article
- Prediction of in-hospital cardiac arrest on general wards using calibrated machine learning.BMJ health & care informatics · 2026Article
- Data Diversity vs. Model Complexity in the Prediction of Pediatric Bipolar Disorder: Evidence from Academic and Community Clinical Samples.medRxiv : the preprint server for health sciences · 2026Article
- Moving toward equitable juvenile justice risk assessments for adolescents: Considering clinical, community, and statistical fairness.Psychological assessment · 2026Article
- The sleep-anxiety dysregulation model of alcohol use disorder risk: A nine-year longitudinal machine learning study.Journal of affective disorders · 2025Review
- Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study.Journal of medical Internet research · 2025Article
- A Machine-Learning-Based Approach to Informing Student Admission Decisions.Behavioral sciences (Basel, Switzerland) · 2025Article
- Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women.BMC cancer · 2025Article
- Development and Validation of a Bayesian Network Predicting Intubation Following Hospital Arrival Among Injured Children.Journal of pediatric surgery · 2025Article
- Development and validation of a prognosis risk score model for neonatal mortality in the Amhara region, Ethiopia. A prospective cohort study.Global health action · 2024Article
- Risk of repeat self-harm among individuals presenting to healthcare services: development and validation of a clinical risk assessment model (OxSET).BMJ mental health · 2024Article
- Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank.Journal of clinical medicine · 2024Article
- Analysis and Validation of a Diagnostic Nomogram for Predicting the Risk of Acute Respiratory Failure for Non-HIV Related Pneumocystis Jirovecii Pneumonia Patients.Risk management and healthcare policy · 2024Article
- Interpersonal Well-Being and Suicidal Outcomes in a Nationally Representative Study of Adolescents: A Translational Study.Research on child and adolescent psychopathology · 2023Article
- Development of a model to predict antidepressant treatment response for depression among Veterans.Psychological medicine · 2023Article
- Discrimination and Calibration Properties of the Violence Risk Appraisal Guide-Revised in a Not Criminally Responsible Provincial Population.Assessment · 2023Article
- Comparative effectiveness of explainable machine learning approaches for extrauterine growth restriction classification in preterm infants using longitudinal data.Frontiers in medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Accuracy has several elements, not all of which have received equal attention in the field of clinical psychology. Calibration, the degree to which a probabilistic estimate of an event reflects the true underlying probability of the event, has largely been neglected in the field of clinical psychology in favor of other components of accuracy such as discrimination (e.g., sensitivity, specificity, area under the receiver operating characteristic curve). Although it is frequently overlooked, calibration is a critical component of accuracy with particular relevance for prognostic models and risk-assessment tools. With advances in personalized medicine and the increasing use of probabilistic (0% to 100%) estimates and predictions in mental health research, the need for careful attention to calibration has become increasingly important.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.