Expert Comments on Available Evidence
The DEPRESSD Project
A Unique and Rigorous Data Platform for Depression Screening Research
Invited Talks
Negeri ZF, Levis B, Wu Y, Thombs BD, Benedetti A. Latent class models for individual participant data meta-analyses of diagnostic test accuracy studies with imperfect reference standards. Cochrane Training’s 2021 ‘A day with’ the Statistical Methods Group. UK, May 11, 2021. [presented online due to COVID-19].
Levis B. Screening for depression in primary care and other clinical settings. Nature Conference on Chronic Disease & Mental Health. March 11, 2021. [presented online due to COVID-19]
Thombs BD and Levis B. Use of individual participant data meta-analysis to address problematic research on mental health assessment. Meta-Research Innovation Center at Stanford (METRICS) International Forum. April 8, 2021. [presented online due to COVID-19]
Levis B, Dehtiarova Y, Sun Y, Wu Y, Benedetti A, Thombs BD, and the DEPRESSD PHQ Collaboration. depressionscreening100.com/phq: a practice-based perspective to using the Patient Health Questionnaire-9 to screen for depression. North American Systematic Review Methods Virtual Research Day. October 30, 2020. [presented online due to COVID-19]
Levis B. Using individual participant data meta-analysis to address and overcome challenges in evaluating depression screening tool accuracy. Centre for Biostatistics Seminar Series. University of Manchester, Manchester, UK. September 14, 2020. [presented online due to COVID-19]
Thombs BD. A “big data” approach to evidence on depression screening: the DEPRESSD and DEPRESSD-KIDS Projects. 24th World Congress of the International Association for Child and Adolescent Psychiatry and Allied Professions. Singapore, July 20-23, 2020 (not presented due to COVID-19).
Levis B. Use of individual participant data meta-analysis to address and overcome challenges in evaluating depression screening tool accuracy. Leicester Biostatistics Research Group. June 25, 2020. [presented online due to COVID-19]
Thombs BD and Benedetti A. The DEPRESSD Project: Using Individual Participant Data Meta-Analysis to Overcome Barriers to Evaluating Diagnostic Test. Department of Epidemiology, Biostatistics and Occupational Health (EBOH), McGill University, Canada, January 27, 2020.
Thombs BD. Use and misuse of depression screening tools: advancing the evidence base via individual participant data meta-analysis. Charite – Universitätsmedizin, Department for Psychosomatic Medicine, Berlin, Germany, February 27, 2020.
Levis B. Using individual participant data meta-analysis to evaluate the diagnostic accuracy of the Patient Health Questionnaire-9 depression screening tool. Primary Care Seminar Series. Keele University, Staffordshire, UK. February 26, 2020.
Levis B. Improving depression screening and assessment via individual participant data meta-analysis. Population Health Research Institute Seminar Series, St Georges, University of London, London, UK. February 11, 2020.
Jones JE. Meta-analysis of diagnostic test accuracy across the full range of possible cut-offs. Biostatistics methodology seminar at the Research Institute for Primary Care and Health Sciences, Keele University, Keele, UK. March 14, 2019.
Thombs BD, Benedetti A, and Levis B. The DEPRESsion Screening Data (DEPRESSD) Project: Using individual participant data meta-analysis to assess diagnostic accuracy and develop individualized depression risk estimates. Centre of Clinical Epidemiology, Jewish General Hospital. Montreal, Quebec, Canada. March 20, 2018.
Levis B. Selective cutoff reporting in studies of diagnostic accuracy of depression screening tools: Comparing traditional meta-analysis to individual patient data meta-analysis. McGill Epidemiology, Biostatistics and Occupational Health 50th Anniversary Conference and Alumni Reunion, Montreal, Quebec, Canada. May 1, 2015.
Levis B and Simoneau G. Using individual patient data meta-analysis to address reporting biases in studies of the diagnostic accuracy of depression screening tools. Respiratory Epidemiology and Clinical Research Unit (RECRU) Seminar, Montreal Chest Institute, Montreal, Quebec, Canada. February 12, 2015.
Levis B and Simoneau G. Using individual patient data meta-analysis to address reporting biases in studies of the diagnostic accuracy of depression screening tools. Respiratory Epidemiology and Clinical Research Unit (RECRU) Seminar, Montreal Chest Institute, Montreal, Quebec, Canada. February 12, 2015.