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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
Source: Scientific Reports. Unidade: FMRP
Subjects: DEPRESSÃO, CONVULSÕES, SENSIBILIDADE E ESPECIFICIDADE
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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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1038/s41598-023-36129-w
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
Source: Psychological Medicine. Unidade: FMRP
Subjects: 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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] 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
Source: Journal of Clinical Epidemiology. Unidade: FMRP
Subjects: 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: 01 nov. 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 nov. 01 ] 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 nov. 01 ] Available from: https://doi.org/10.1016/j.jclinepi.2020.02.002
Artigo de periodico
On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals (2018)
Zhang, Yao; Xiao, Xiangming; Zhang, Yongguang; Wolf, Sebastian; Zhou, Sha; Joiner, Joanna; Guanter, Luis; Verma, Manish; Sun, Ying; Yang, Xi; Paul-Limoges, Eugénie; Gough, Christopher M; Wohlfahrt, Georg; Gioli, Beniamino; Van der Tol, Christiaan; Nouvellon, Yann Pierre ; Lund, Magnus; Grandcourt, Agnès de
Source: Remote Sensing of Environment. Unidade: ESALQ
Subjects: CICLO DO CARBONO, CLOROFILA, ECOFISIOLOGIA VEGETAL, FENOLOGIA, FLUORESCÊNCIA, FOTOSSÍNTESE, IMAGEAMENTO DE SATÉLITE, RADIAÇÃO SOLAR E TERRESTRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZHANG, Yao et al. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment, v. 205, p. 276-289, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.rse.2017.12.009. Acesso em: 01 nov. 2024.
APA
Zhang, Y., Xiao, X., Zhang, Y., Wolf, S., Zhou, S., Joiner, J., et al. (2018). On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment, 205, 276-289. doi:10.1016/j.rse.2017.12.009
NLM
Zhang Y, Xiao X, Zhang Y, Wolf S, Zhou S, Joiner J, Guanter L, Verma M, Sun Y, Yang X, Paul-Limoges E, Gough CM, Wohlfahrt G, Gioli B, Van der Tol C, Nouvellon YP, Lund M, Grandcourt A de. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals [Internet]. Remote Sensing of Environment. 2018 ; 205 276-289.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.rse.2017.12.009
Vancouver
Zhang Y, Xiao X, Zhang Y, Wolf S, Zhou S, Joiner J, Guanter L, Verma M, Sun Y, Yang X, Paul-Limoges E, Gough CM, Wohlfahrt G, Gioli B, Van der Tol C, Nouvellon YP, Lund M, Grandcourt A de. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals [Internet]. Remote Sensing of Environment. 2018 ; 205 276-289.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.rse.2017.12.009

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