BookR: School of Health Core Facilities Booking
PubMed Publications| Keyword search (4,163 papers available) |  |
"bias" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | MATES: A tool for appraising the completeness with which a meta-analysis has been reported | Morrison K; Pottier P; Pollo P; Ricolfi L; Williams C; Yang Y; Beillouin D; Cardoso SJ; Ferreira V; Gallagher B; Gan JL; Hao G; Keikha M; Kozlowsky-Suzuki B; Kiran Kumara TM; Latterini F; Leverkus AB; Macartney EL; Manrique SM; Martinig AR; Mizuno A; Nanayakkara S; Ntzani E; Ouédraogo DY; Pursell E; Simpson Z; Sleight H; Woon KS; Xia Z; Ghannad M; Grames E; Hennessy EA; IntHout J; Moher D; O' Dea RE; Page MJ; Whaley P; Lagisz M; Nakagawa S; | 41411971 BIOLOGY |
| 2 | Weight bias, stigma and discrimination: a call for greater conceptual clarity | Côté M; Forouhar V; Sacco S; Baillot A; Himmelstein M; Hussey B; Incollingo Rodriguez AC; Nagpal TS; Nutter S; Patton I; Pearl RL; Puhl RM; Ramos Salas X; Russell-Mayhew S; Alberga AS; | 41280193 HKAP |
| 3 | Unintended consequences of measuring gestational weight gain: how to reduce weight stigma in perinatal care | Alberga AS; Incollingo Rodriguez AC; Nagpal TS; | 40652172 HKAP |
| 4 | The β2-adrenergic biased agonist nebivolol inhibits the development of Th17 and the response of memory Th17 cells in an NF-κB-dependent manner | Hajiaghayi M; Gholizadeh F; Han E; Little SR; Rahbari N; Ardila I; Lopez Naranjo C; Tehranimeh K; Shih SCC; Darlington PJ; | 39445009 BIOLOGY |
| 5 | Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs | Côté M; Forouhar V; Edache IY; Alberga AS; | 38964079 HKAP |
| 6 | Exploring the association between internalized weight bias and mental health among Canadian adolescents | Lucibello KM; Goldfield GS; Alberga AS; Leatherdale ST; Patte KA; | 38676448 HKAP |
| 7 | Weighty words: exploring terminology about weight among samples of physicians, obesity specialists, and the general public | Wilson OWA; Nutter S; Russell-Mayhew S; Ellard JH; Alberga AS; MacInnis CC; | 38131299 HKAP |
| 8 | Putting things right: An experimental investigation of memory biases related to symmetry, ordering and arranging behaviour | Radomsky AS; Ouellet-Courtois C; Golden E; Senn JM; Parrish CL; | 37793286 PSYCHOLOGY |
| 9 | Do trauma cue exposure and/or PTSD symptom severity intensify selective approach bias toward cannabis cues in regular cannabis users with trauma histories? | DeGrace S; Romero-Sanchiz P; Tibbo P; Barrett S; Arenella P; Cosman T; Atasoy P; Cousijn J; Wiers R; Keough MT; Yakovenko I; O' Connor R; Wardell J; Rudnick A; Nicholas Carleton R; Heber A; Stewart SH; | 37625353 PSYCHOLOGY |
| 10 | Weight bias internalization and beliefs about the causes of obesity among the Canadian public | Vida Forouhar | 37620795 HKAP |
| 11 | Modeling venous bias in resting state functional MRI metrics | Huck J; Jäger AT; Schneider U; Grahl S; Fan AP; Tardif C; Villringer A; Bazin PL; Steele CJ; Gauthier CJ; | 37498014 PERFORM |
| 12 | Visual biases in evaluation of speakers' and singers' voice type by cis and trans listeners | Marchand Knight J; Sares AG; Deroche MLD; | 37205083 PSYCHOLOGY |
| 13 | Predictors of support for anti-weight discrimination policies among Canadian adults | Levy M; Forouhar V; Edache IY; Alberga AS; | 37139379 HKAP |
| 14 | How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses | Joyal-Desmarais K; Stojanovic J; Kennedy EB; Enticott JC; Boucher VG; Vo H; Košir U; Lavoie KL; Bacon SL; | 36335560 HKAP |
| 15 | Recommendations for making editorial boards diverse and inclusive | Mahdjoub H; Maas B; Nuñez MA; Khelifa R; | 36280401 BIOLOGY |
| 16 | Exploring weight bias internalization in pregnancy | Nagpal TS; Salas XR; Vallis M; Piccinini-Vallis H; Alberga AS; Bell RC; da Silva DF; Davenport MH; Gaudet L; Rodriguez ACI; Liu RH; Myre M; Nerenberg K; Nutter S; Russell-Mayhew S; Souza SCS; Vilhan C; Adamo KB; | 35906530 HKAP |
| 17 | Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 35362161 PSYCHOLOGY |
| 18 | Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; | 35334411 PSYCHOLOGY |
| 19 | The relationship between weight bias internalization and healthy and unhealthy weight control behaviours | Levy M; Kakinami L; Alberga AS; | 35201546 PERFORM |
| 20 | Mapping changes in the obesity stigma discourse through Obesity Canada: a content analysis | Kirk SF; Forhan M; Yusuf J; Chance A; Burke K; Blinn N; Quirke S; Salas XR; Alberga A; Russell-Mayhew S; | 35071667 HKAP |
| 21 | Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases | Azarpanah H; Farhadloo M; Vahidov R; Pilote L; | 34530804 JMSB |
| 22 | 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 |
| 23 | Weight bias and support of public health policies | Edache IY; Kakinami L; Alberga AS; | 33990876 PERFORM |
| 24 | Predicting Interpersonal Outcomes From Information Processing Tasks Using Personally Relevant and Generic Stimuli: A Methodology Study | Serravalle L; Tsekova V; Ellenbogen MA; | 33071861 CRDH |
| 25 | Prediction Errors in Depression: A Quasi-Experimental Analysis. | Radomsky AS, Wong SF, Dussault D, Gilchrist PT, Tesolin SB | 32746394 PSYCHOLOGY |
| 26 | The Association Between Weight-Based Teasing from Peers and Family in Childhood and Depressive Symptoms in Childhood and Adulthood: A Systematic Review. | Szwimer E, Mougharbel F, Goldfield GS, Alberga AS | 32002762 HKAP |
| 27 | 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 |
| 28 | Computer-Aided Diagnosis System of Alzheimer's Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model. | Lazli L, Boukadoum M, Ait Mohamed O | 31652635 ENCS |
| 29 | Dopamine and light: effects on facial emotion recognition. | Cawley E, Tippler M, Coupland NJ, Benkelfat C, Boivin DB, Aan Het Rot M, Leyton M | 28633582 CSBN |
| 30 | Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies. | Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ | 28159689 PERFORM |
| Title: | Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 | ||||
| Authors: | Nassar EL, Levis B, Neyer MA, Rice DB, Booij L, Benedetti A, Thombs BD | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/35362161/ | ||||
| DOI: | 10.1002/mpr.1910 | ||||
| Publication: | International journal of methods in psychiatric research | ||||
| Keywords: | bias; depression; diagnostic test accuracy; sample size; screening; | ||||
| PMID: | 35362161 | Category: | Date Added: | 2022-04-01 | |
| Dept Affiliation: |
PSYCHOLOGY
1 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada. 2 Department of Psychiatry, McGill University, Montreal, Quebec, Canada. 3 Centre for Prognosis Research, School of Medicine, Keele University, Staffordshire, UK. 4 Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada. 5 Department of Psychology, McGill University, Montreal, Quebec, Canada. 6 Department of Psychology, Concordia University, Montreal, Quebec, Canada. 7 CHU Sainte-Justine Hospital Research Centre, Montreal, Quebec, Canada. 8 Department of Medicine, McGill University, Montreal, Quebec, Canada. 9 Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada. 10 Department of Educational and Counselling |
||||
Description: |
Objectives: Depression screening tool accuracy studies should be conducted with large enough sample sizes to generate precise accuracy estimates. We assessed the proportion of recently published depression screening tool diagnostic accuracy studies that reported sample size calculations; the proportion that provided confidence intervals (CIs); and precision, based on the width and lower bounds of 95% CIs for sensitivity and specificity. In addition, we assessed whether these results have improved since a previous review of studies published in 2013-2015. Methods: MEDLINE was searched from January 1, 2018, through May 21, 2021. Results: Twelve of 106 primary studies (11%) described a viable sample size calculation, which represented an improvement of 8% since the last review. Thirty-six studies (34%) provided reasonably accurate CIs. Of 103 studies where 95% CIs were provided or could be calculated, seven (7%) had sensitivity CI widths of =10%, whereas 58 (56%) had widths of =21%. Eighty-four studies (82%) had lower bounds of CIs <80% for sensitivity and 77 studies (75%) for specificity. These results were similar to those reported previously. Conclusion: Few studies reported sample size calculations, and the number of included individuals in most studies was too small to generate reasonably precise accuracy estimates. |
