Related references
Note: Only part of the references are listed.PHQ-9: global uptake of a depression scale
Kurt Kroenke
WORLD PSYCHIATRY (2021)
Selective cutoff reporting in studies of the accuracy of the Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale: Comparison of results based on published cutoffs versus all cutoffs using individual participant data meta-analysis
Dipika Neupane et al.
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH (2021)
Prevalence and variability of current depressive disorder in 27 European countries: a population-based study
Jorge Arias-de la Torre et al.
Lancet Public Health (2021)
A Bayesian approach to estimating the population prevalence of mood and anxiety disorders using multiple measures
Jordan Edwards et al.
EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES (2021)
Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis
Yin Wu et al.
PSYCHOLOGICAL MEDICINE (2020)
Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study
Qingqing Liu et al.
JOURNAL OF PSYCHIATRIC RESEARCH (2020)
Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis
Brooke Levis et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2020)
Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis
Eliana Brehaut et al.
JOURNAL OF PSYCHOSOMATIC RESEARCH (2020)
Comparison of depression prevalence estimates in meta-analyses based on screening tools and rating scales versus diagnostic interviews: a meta-research review
Brooke Levis et al.
BMC MEDICINE (2019)
Prevalence of mental disorders and associated disability: Results from the cross-sectional CZEch mental health Study (CZEMS)
T. Formanek et al.
EUROPEAN PSYCHIATRY (2019)
Reducing the global burden of depression: a Lancet-World Psychiatric Association Commission
Helen Herrman et al.
LANCET (2019)
Addressing overestimation of the prevalence of depression based on self-report screening questionnaires
Brett D. Thombs et al.
CANADIAN MEDICAL ASSOCIATION JOURNAL (2018)
Stan: A Probabilistic Programming Language
Bob Carpenter et al.
JOURNAL OF STATISTICAL SOFTWARE (2017)
Addressing the burden of mental, neurological, and substance use disorders: key messages from Disease Control Priorities, 3rd edition
Vikram Patel et al.
LANCET (2016)
Summarising and validating test accuracy results across multiple studies for use in clinical practice
Richard D. Riley et al.
STATISTICS IN MEDICINE (2015)
Misclassification errors in prevalence estimation: Bayesian handling with care
Niko Speybroeck et al.
INTERNATIONAL JOURNAL OF PUBLIC HEALTH (2013)
Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010
Alize J. Ferrari et al.
PLOS MEDICINE (2013)
Causal diagrams in systems epidemiology
Michael Joffe et al.
EMERGING THEMES IN EPIDEMIOLOGY (2012)
Meta-analysis of diagnostic test studies using individual patient data and aggregate data
Richard D. Riley et al.
STATISTICS IN MEDICINE (2008)
The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies
Erik von Elm et al.
ANNALS OF INTERNAL MEDICINE (2007)
Recalibration methods to enhance information on prevalence rates from large mental health surveys
NA Taub et al.
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH (2005)
Modelling risk when binary outcomes are subject to error
P McInturff et al.
STATISTICS IN MEDICINE (2004)