2022
DOI: 10.1016/j.dajour.2022.100137
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A survival analysis approach for identifying the risk factors in time to recovery of COVID-19 patients using Cox proportional hazard model

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“…The performance of each RAT kit was evaluated by estimating precision and recall against the rRT-PCR results using the caret package [ 23 ]. The correlation between the Ct values from rRT-PCR and the results of assays using each RAT kit was evaluated using the log-rank test in the survminer package [ 24 ]. The receiver operating characteristic (ROC) curve and area under curve (AUC) were generated using the pROC package, and the optimal cutoffs for each RAT were calculated using scores that estimated the minimum distance between the left-upper corner and ROC curve [ 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…The performance of each RAT kit was evaluated by estimating precision and recall against the rRT-PCR results using the caret package [ 23 ]. The correlation between the Ct values from rRT-PCR and the results of assays using each RAT kit was evaluated using the log-rank test in the survminer package [ 24 ]. The receiver operating characteristic (ROC) curve and area under curve (AUC) were generated using the pROC package, and the optimal cutoffs for each RAT were calculated using scores that estimated the minimum distance between the left-upper corner and ROC curve [ 25 ].…”
Section: Methodsmentioning
confidence: 99%