2021
DOI: 10.1007/s12055-020-01108-7
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Survival analysis—part 2: Cox proportional hazards model

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Cited by 42 publications
(31 citation statements)
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“…Regarding survival analysis, the Kaplan-Meier curve with log rank test was performed first to visualize survival curves. Univariate and multivariate Cox proportional hazard regression models were adopted to determine hazard ratios 21 . All statistical analyses were conducted using SPSS software, version 26 (IBM Corp., Armonk, New York, USA) and GraphPad Prism software, version 9.5.0 (GraphPad Software).…”
Section: Discussionmentioning
confidence: 99%
“…Regarding survival analysis, the Kaplan-Meier curve with log rank test was performed first to visualize survival curves. Univariate and multivariate Cox proportional hazard regression models were adopted to determine hazard ratios 21 . All statistical analyses were conducted using SPSS software, version 26 (IBM Corp., Armonk, New York, USA) and GraphPad Prism software, version 9.5.0 (GraphPad Software).…”
Section: Discussionmentioning
confidence: 99%
“…A Cox proportional hazard regression model was used to estimate the association between 30-day mortality and OAC medication adjusted for confounding variables 14 selected based on a p<0.05 in univariate analysis and potential confounders judged by clinical experts who were blind to the study.…”
Section: Methodsmentioning
confidence: 99%
“…According to Yu et al ( 21 ), the response variable corresponds to the time until the occurrence of an event of interest. Survival data sets are characterized by failure times, whose important characteristic is the presence of censoring, which represents the partial observation of the response ( 22 , 23 ).…”
Section: Methodsmentioning
confidence: 99%
“…The Kaplan–Meier estimator stands out for estimating survival curves ( 23 ). The Kaplan–Meier estimator allows for testing hypotheses that do not require assumptions about the distribution of data ( 24 ).…”
Section: Methodsmentioning
confidence: 99%