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PubMed Publications| Keyword search (4,164 papers available) |  |
"Methods" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Establishing work productivity loss norms: Absenteeism and presenteeism in a Canadian working population | Zhang W; Qian H; L' Heureux J; Johns G; Koehoorn M; Woodcock S; | 41469277 JMSB |
| 2 | Perceptions et attitudes des personnes âgées souffrant d insomnie par rapport aux médicaments et aux produits de santé naturels | Nguyen PV; Dang-Vu T; Forest G; Saidi L; Desmarais P; | 40968485 CONCORDIA |
| 3 | A portrait of online gambling: a look at a transformation amid a pandemic | Kairouz S; Savard AC; Murch WS; Dixon MR; Martin NB; Brodeur M; Dauphinais S; Ferland F; Hamel D; Dufour M; French M; Monson E; Van Mourik V; Morvannou A; | 40770758 CONCORDIA |
| 4 | Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications | Khodaverdi H; Sedaghati R; | 40732777 ENCS |
| 5 | Exploring interaction paradigms for segmenting medical images in virtual reality | Jones Z; Drouin S; Kersten-Oertel M; | 40402355 ENCS |
| 6 | Facebook recruitment: understanding research relations Prior to data collection | Young K; Browne K; | 39877298 CONCORDIA |
| 7 | Infants' Social Evaluation of Helpers and Hinderers: A Large-Scale, Multi-Lab, Coordinated Replication Study | Lucca K; Yuen F; Wang Y; Alessandroni N; Allison O; Alvarez M; Axelsson EL; Baumer J; Baumgartner HA; Bertels J; Bhavsar M; Byers-Heinlein K; Capelier-Mourguy A; Chijiiwa H; Chin CS; Christner N; Cirelli LK; Corbit J; Daum MM; Doan T; Dresel M; Exner A; Fei W; Forbes SH; Franchin L; Frank MC; Geraci A; Giraud M; Gornik ME; Wiesmann CG; Grossmann T; Hadley IM; Havron N; Henderson AME; Matzner EH; Immel BA; Jankiewicz G; Jedryczka W; Kanakogi Y; Kominsky JF; Lew-Williams C; Liberman Z; Liu L; Liu Y; Loeffler MT; Martin A; Mayor J; Meng X; Misiak M; Moreau D; Nencheva ML; Oña LS; Otálora Y; Paulus M; Pepe B; Pickron CB; Powell LJ; Proft M; Quinn AA; Rakoczy H; Reschke PJ; Roth-Hanania R; Rothmaler K; Schlegelmilch K; Schlingloff-Nemecz L; Schmuckler MA; Schuwerk T; Seehagen S; Sen HH; Shainy MR; Silvestri V; Soderstrom M; Sommerville J; Song HJ; Sorokowski P; Stutz SE; Su Y; Taborda-Osorio H; Tan AWM; Tatone D; Taylor-Partridge T; Tsang CKA; Urbanek A; Uzefovsky F; Visser I; Wertz AE; Williams M; Wolsey K; Wong TT; Woodward AM; Wu Y; Zeng Z; Zimmer L; Hamlin JK; | 39600132 PSYCHOLOGY |
| 8 | Searching and reporting in Campbell Collaboration systematic reviews: A systematic assessment of current methods | Young S; MacDonald H; Louden D; Ellis UM; Premji Z; Rogers M; Bethel A; Pickup D; | 39176233 CONCORDIA |
| 9 | Measuring what matters to older persons for active living: part I content development for the OPAL measure across four countries | Mayo NE; Auais M; Barclay R; Branin J; Dawes H; Korfage IJ; Sawchuk K; Tal E; White CL; Ayoubi Z; Chowdhury F; Henderson J; Mansoubi M; Mate KKV; Nadea L; Rodriguez S; Kuspinar A; | 38967870 BIOLOGY |
| 10 | Evaluation of the effectiveness of a Strengths-Based Nursing and Healthcare Leadership program aimed at building leadership capacity: A concurrent mixed-methods study | Lavoie-Tremblay M; Boies K; Clausen C; Frechette J; Manning K; Gelsomini C; Cyr G; Lavigne G; Gottlieb B; Gottlieb LN; | 38746801 JMSB |
| 11 | Identifying priority questions regarding rapid systematic reviews' methods: protocol for an eDelphi study | Vieira AM; Szczepanik G; de Waure C; Tricco AC; Oliver S; Stojanovic J; Ribeiro PAB; Pollock D; Akl EA; Lavis J; Kuchenmuller T; Bragge P; Langer L; Bacon S; | 37419644 HKAP |
| 12 | How to present work productivity loss results from clinical trials for patients and caregivers? A mixed methods approach | L' Heureux J; McTaggart-Cowan H; Johns G; Chen L; Steiner T; Tocher P; Sun H; Zhang W; | 37276772 JMSB |
| 13 | Barriers and facilitators to diet, physical activity and lifestyle behavior intervention adherence: a qualitative systematic review of the literature | Alysha L Deslippe | 36782207 PERFORM |
| 14 | Pan-Canadian caregiver experiences in accessing government disability programs: A mixed methods study | Finlay B; Wittevrongel K; Materula D; Hébert ML; O' Grady K; Lach LM; Nicholas D; Zwicker JD; | 36621140 CONCORDIA |
| 15 | Double-Bind of Recruitment of Older Adults Into Studies of Successful Aging via Assistive Information and Communication Technologies: Mapping Review | Khalili-Mahani N; Sawchuk K; | 36563033 CONCORDIA |
| 16 | Toward a digital citizen lab for capturing data about alternative ways of self-managing chronic pain: An attitudinal user study | Khalili-Mahani N; Woods S; Holowka EM; Pahayahay A; Roy M; | 36188996 PERFORM |
| 17 | Young women's engagement with gambling: A critical qualitative inquiry of risk conceptualisations and motivations to gamble | McCarthy S; Thomas S; Pitt H; Marko S; Randle M; Cowlishaw S; Kairouz S; Daube M; | 36002940 SOCANTH |
| 18 | Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children | Kakinami L; Smyrnova A; Paradis G; Tremblay A; Henderson M; | 35705336 PERFORM |
| 19 | A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary | Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L; | 35372638 ENCS |
| 20 | Simple, Economical Methods for the Culture of Green Algae for Energy Harvesting from Photosynthesis in a Microfluidic Environment | Kuruvinashetti K; Rahimi S; Pakkiriswami S; Packirisamy M; | 34898042 ENCS |
| 21 | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data | Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A; | 33838273 CONCORDIA |
| 22 | Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis | Thombs BD; Levis B; Lyubenova A; Neupane D; Negeri Z; Wu Y; Sun Y; He C; Krishnan A; Vigod SN; Bhandari PM; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Barnes J; Beck CT; Bindt C; Figueiredo B; Helle N; Howard LM; Kohlhoff J; Kozinszky Z; Leonardou AA; Radoš SN; Quispel C; Rochat TJ; Stein A; Stewart RC; Tadinac M; Tandon SD; Tendais I; Töreki A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Benedetti A; | 33104415 LIBRARY |
| 23 | A threshold LC-MS/MS method for 92 analytes in oral fluid collected with the Quantisal® device | Desharnais B; Lajoie MJ; Laquerre J; Mireault P; Skinner CD; | 33035929 CHEMBIOCHEM |
| 24 | Group sample sizes in nonregulated health care intervention trials described as randomized controlled trials were overly similar | Thombs BD; Levis AW; Azar M; Saadat N; Riehm KE; Sanchez TA; Chiovitti MJ; Rice DB; Levis B; Fedoruk C; Lyubenova A; Malo Vázquez de Lara AL; Kloda LA; Benedetti A; Shrier I; Platt RW; Kimmelman J; | 31866472 LIBRARY |
| Title: | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data | ||||
| Authors: | Bhandari PM, Levis B, Neupane D, Patten SB, Shrier I, Thombs BD, Benedetti A | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/33838273/ | ||||
| DOI: | 10.1016/j.jclinepi.2021.03.031 | ||||
| Publication: | Journal of clinical epidemiology | ||||
| Keywords: | Accuracy estimates; Bias; Cherry-picking; Data-driven methods; Depression; Optimal cutoff; | ||||
| PMID: | 33838273 | Category: | Date Added: | 2021-05-16 | |
| Dept Affiliation: |
CONCORDIA
1 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada. 2 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Centre for Prognosis Research, School of Medicine, Keele University, Staffordshire, UK. 3 Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada. 4 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Family Medicine, McGill University, Montréal, Québec, Canada. 5 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada; Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada; Biomedical Ethics Unit, McGill University, Montréal, Québec, Canada. Electronic address: brett.thombs@mcgill.ca. 6 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada. Electronic address: andrea.benedetti@mcgill.ca. 7 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada. 8 Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montréal, Québec, Canada. 9 Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands. 10 Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK. 11 Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA. 12 Library, Concordia University, Montréal, Québec, Canada. 13 Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 14 International Union for Health Promotion and Health Education, École de santé publique de l'Université de Montréal, Montréal, Québec, Canada. 15 Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada. 16 Department of Medicine, University of Calgary, Calgary, Alberta, Canada. 17 Women's College Hospital and Research Institute, University of Toronto, Toronto, Ontario, Canada. 18 Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy. 19 School of Public Health, Faculty of Medicine, Universidad de Chile, Santiago, Chile. 20 Laboratorio de Investigación Biomédica, Facultad de Medicina y Nutrición, Avenida Universidad, Dgo, Mexico. 21 Child and Adolescent Unit, Federal Neuropsychiatric Hospital, Enugu, Nigeria. 22 Department of Psychological Sciences, Birkbeck, University of London, UK. 23 Departm |
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Description: |
Objective: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. Study design and setting: A total of 1,000 samples of sample size 100, 200, 500 and 1,000 each were randomly drawn to simulate studies of different sample sizes from a database (n = 13,255) synthesized to assess Edinburgh Postnatal Depression Scale (EPDS) screening accuracy. Optimal cutoffs were selected by maximizing Youden's J (sensitivity+specificity-1). Optimal cutoffs and accuracy estimates in simulated samples were compared to population values. Results: Optimal cutoffs in simulated samples ranged from = 5 to = 17 for n = 100, = 6 to = 16 for n = 200, = 6 to = 14 for n = 500, and = 8 to = 13 for n = 1,000. Percentage of simulated samples identifying the population optimal cutoff (= 11) was 30% for n = 100, 35% for n = 200, 53% for n = 500, and 71% for n = 1,000. Mean overestimation of sensitivity and underestimation of specificity were 6.5 percentage point (pp) and -1.3 pp for n = 100, 4.2 pp and -1.1 pp for n = 200, 1.8 pp and -1.0 pp for n = 500, and 1.4 pp and -1.0 pp for n = 1,000. Conclusions: Small accuracy studies may identify inaccurate optimal cutoff and overstate accuracy estimates with data-driven methods. |
