Mbutiwi, F. I. N., Yapo, A. P. J., Toirambe, S. E., Rees, E., Plouffe, R., & Carabin, H. (2024). Sensitivity and specificity of International Classification of Diseases algorithms (ICD-9 and ICD-10) used to identify opioid-related overdose cases: A systematic review and an example of estimation using Bayesian latent class models in the absence of gold standards. Canadian Journal of Public Health, 115(5), 770-784.
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Cita Chicago Style (17a ed.)
Mbutiwi, Fiston Ikwa Ndol, Ayekoe Patrick Junior Yapo, Serge Esako Toirambe, Erin Rees, Rebecca Plouffe, y Hélène Carabin. "Sensitivity and Specificity of International Classification of Diseases Algorithms (ICD-9 and ICD-10) Used to Identify Opioid-related Overdose Cases: A Systematic Review and an Example of Estimation Using Bayesian Latent Class Models in the Absence of Gold Standards."
Canadian Journal of Public Health 115, no. 5 (2024): 770-784.
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Cita MLA (9a ed.)
Mbutiwi, Fiston Ikwa Ndol, et al. "Sensitivity and Specificity of International Classification of Diseases Algorithms (ICD-9 and ICD-10) Used to Identify Opioid-related Overdose Cases: A Systematic Review and an Example of Estimation Using Bayesian Latent Class Models in the Absence of Gold Standards."
Canadian Journal of Public Health, vol. 115, no. 5, 2024, pp. 770-784.
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