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Artigo de periodico
A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well (2023)
Lara, Aurelio López Malo Vázquez de; Bhandari, Parash Mani; Wu, Yin; Levis, Brooke; Thombs, Brett; Benedetti, Andrea; Sun, Ying; He, Chen; Krishnan, Ankur; Neupane, Dipika; Negeri, Zelalem; Loureiro, Sonia Regina ; Osório, Flávia de Lima
Fonte: Scientific Reports. Unidade: FMRP
Assuntos: DEPRESSÃO, CONVULSÕES, SENSIBILIDADE E ESPECIFICIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LARA, Aurelio López Malo Vázquez de et al. A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well. Scientific Reports, v. 13, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-36129-w. Acesso em: 30 set. 2024.
APA
Lara, A. L. M. V. de, Bhandari, P. M., Wu, Y., Levis, B., Thombs, B., Benedetti, A., et al. (2023). A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well. Scientific Reports, 13, 1-12. doi:10.1038/s41598-023-36129-w
NLM
Lara ALMV de, Bhandari PM, Wu Y, Levis B, Thombs B, Benedetti A, Sun Y, He C, Krishnan A, Neupane D, Negeri Z, Loureiro SR, Osório F de L. A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well [Internet]. Scientific Reports. 2023 ; 13 1-12.[citado 2024 set. 30 ] Available from: https://doi.org/10.1038/s41598-023-36129-w
Vancouver
Lara ALMV de, Bhandari PM, Wu Y, Levis B, Thombs B, Benedetti A, Sun Y, He C, Krishnan A, Neupane D, Negeri Z, Loureiro SR, Osório F de L. A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well [Internet]. Scientific Reports. 2023 ; 13 1-12.[citado 2024 set. 30 ] Available from: https://doi.org/10.1038/s41598-023-36129-w
Artigo de periodico
External validation of a shortened screening tool using individual participant data meta-analysis: a case study of the Patient Health Questionnaire-Dep-4 (2022)
Harel, Daphna; Levis, Brooke; Sun, Ying; Fischer, Felix; Ioannidis, John P. A; Cuijpers, Pim; Patten, Scott B.; Ziegelstein, Roy C.; Markham, Sarah; Benedetti, Andrea; Chagas, Marcos Hortes Nisihara ; Loureiro, Sonia Regina ; Osório, Flávia de Lima
Fonte: Methods. Unidade: FMRP
Assuntos: ESTUDO DE CASO, TRIAGEM, QUESTIONÁRIOS, DIAGNÓSTICO, DEPRESSÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAREL, Daphna et al. External validation of a shortened screening tool using individual participant data meta-analysis: a case study of the Patient Health Questionnaire-Dep-4. Methods, v. 204, p. 300-311, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ymeth.2021.11.005. Acesso em: 30 set. 2024.
APA
Harel, D., Levis, B., Sun, Y., Fischer, F., Ioannidis, J. P. A., Cuijpers, P., et al. (2022). External validation of a shortened screening tool using individual participant data meta-analysis: a case study of the Patient Health Questionnaire-Dep-4. Methods, 204, 300-311. doi:10.1016/j.ymeth.2021.11.005
NLM
Harel D, Levis B, Sun Y, Fischer F, Ioannidis JPA, Cuijpers P, Patten SB, Ziegelstein RC, Markham S, Benedetti A, Chagas MHN, Loureiro SR, Osório F de L. External validation of a shortened screening tool using individual participant data meta-analysis: a case study of the Patient Health Questionnaire-Dep-4 [Internet]. Methods. 2022 ; 204 300-311.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.ymeth.2021.11.005
Vancouver
Harel D, Levis B, Sun Y, Fischer F, Ioannidis JPA, Cuijpers P, Patten SB, Ziegelstein RC, Markham S, Benedetti A, Chagas MHN, Loureiro SR, Osório F de L. External validation of a shortened screening tool using individual participant data meta-analysis: a case study of the Patient Health Questionnaire-Dep-4 [Internet]. Methods. 2022 ; 204 300-311.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.ymeth.2021.11.005
Artigo de periodico
Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis (2022)
Fischer, Felix; Levis, Brooke; Falk, Carl; Sun, Ying; Ioannidis, John P. A.; Cuijpers, Pim; Shrier, Ian; Benedetti, Andrea; Thombs, Brett D.; Chagas, Marcos Hortes Nisihara ; Loureiro, Sonia Regina ; Osório, Flávia de Lima
Fonte: Psychological Medicine. Unidade: FMRP
Assuntos: ANÁLISE FATORIAL, TRIAGEM, DEPRESSÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FISCHER, Felix et al. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis. Psychological Medicine, 2022Tradução . . Disponível em: https://doi.org/10.1017/S0033291721000131. Acesso em: 30 set. 2024.
APA
Fischer, F., Levis, B., Falk, C., Sun, Y., Ioannidis, J. P. A., Cuijpers, P., et al. (2022). Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis. Psychological Medicine. doi:10.1017/S0033291721000131
NLM
Fischer F, Levis B, Falk C, Sun Y, Ioannidis JPA, Cuijpers P, Shrier I, Benedetti A, Thombs BD, Chagas MHN, Loureiro SR, Osório F de L. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis [Internet]. Psychological Medicine. 2022 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1017/S0033291721000131
Vancouver
Fischer F, Levis B, Falk C, Sun Y, Ioannidis JPA, Cuijpers P, Shrier I, Benedetti A, Thombs BD, Chagas MHN, Loureiro SR, Osório F de L. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis [Internet]. Psychological Medicine. 2022 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1017/S0033291721000131
Artigo de periodico
Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis (2020)
Levis, Brooke; Benedetti, Andrea; Ioannidis, John P. A.; Sun, Ying; Negeri, Zelalem; He, Chen; Wu, Yin; Krishnan, Ankur; Bhandari, Parash Mani; Neupane, Dipika; Osório, Flávia de Lima ; Loureiro, Sonia Regina ; Chagas, Marcos Hortes Nisihara
Fonte: Journal of Clinical Epidemiology. Unidade: FMRP
Assuntos: DEPRESSÃO, QUESTIONÁRIOS, SAÚDE MENTAL, PREVALÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEVIS, Brooke et al. Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis. Journal of Clinical Epidemiology, v. 122, p. 115-128, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jclinepi.2020.02.002. Acesso em: 30 set. 2024.
APA
Levis, B., Benedetti, A., Ioannidis, J. P. A., Sun, Y., Negeri, Z., He, C., et al. (2020). Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis. Journal of Clinical Epidemiology, 122, 115-128. doi:10.1016/j.jclinepi.2020.02.002
NLM
Levis B, Benedetti A, Ioannidis JPA, Sun Y, Negeri Z, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Osório F de L, Loureiro SR, Chagas MHN. Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis [Internet]. Journal of Clinical Epidemiology. 2020 ; 122 115-128.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.jclinepi.2020.02.002
Vancouver
Levis B, Benedetti A, Ioannidis JPA, Sun Y, Negeri Z, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Osório F de L, Loureiro SR, Chagas MHN. Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis [Internet]. Journal of Clinical Epidemiology. 2020 ; 122 115-128.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.jclinepi.2020.02.002

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