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https://hdl.handle.net/1822/91224| Título: | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data |
| Autor(es): | Bhandari, Parash Mani Levis, Brooke Neupane, Dipika Patten, Scott B Shrier, Ian Thombs, Brett D Benedetti, Andrea Figueiredo, Bárbara Tendais, Iva Alexandra Barbosa DEPRESsion Screening Data (DEPRESSD) EPDS Collaboration |
| Palavras-chave: | Computer simulation Depression Female Humans Psychiatric status rating scales Reproducibility of results Data science Optimal cutoff Accuracy estimates Bias Cherry-picking Data-driven methods |
| Data: | Set-2021 |
| Editora: | Elsevier 1 |
| Revista: | Journal of Clinical Epidemiology |
| Citação: | Bhandari, P. M., Levis, B., Neupane, D., Patten, S. B., Shrier, I., Thombs, B. D., … Yonkers, K. A. (2021, September). Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data. Journal of Clinical Epidemiology. Elsevier BV. http://doi.org/10.1016/j.jclinepi.2021.03.031 |
| Resumo(s): | 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. |
| Tipo: | Artigo |
| URI: | https://hdl.handle.net/1822/91224 |
| DOI: | 10.1016/j.jclinepi.2021.03.031 |
| ISSN: | 0895-4356 |
| e-ISSN: | 1878-5921 |
| Versão da editora: | https://www.sciencedirect.com/science/article/pii/S089543562100113X |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | CIPsi - Artigos (Papers) |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| S089543562100113X.pdf | 1,07 MB | Adobe PDF | Ver/Abrir |
