2020
DOI: 10.5935/0004-2749.20200036
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Survival analysis (Kaplan-Meier curves): a method to predict the future

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Cited by 12 publications
(8 citation statements)
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“…To identify the crucial genes interrelated to HCC patients’ survival from 81 DEGs, the Cox’s proportional hazards regression model and Kaplan–Meier analysis were employed via R software according to the clinical information based on the TCGA Liver hepatocellular carcinoma database. 35 , 36 In Cox’s proportional hazards regression model, 28 genes were found to be related to the survival of HCC patients when the P value was defined to be less than 0.001 ( Supplementary file 2: Table 4 ). Through Kaplan–Meier analysis, 11 genes were observed to be associated with HCC patients’ survival when the P value was defined to be less than 0.001 ( Supplementary file 2: Table 5 ).…”
Section: Resultsmentioning
confidence: 99%
“…To identify the crucial genes interrelated to HCC patients’ survival from 81 DEGs, the Cox’s proportional hazards regression model and Kaplan–Meier analysis were employed via R software according to the clinical information based on the TCGA Liver hepatocellular carcinoma database. 35 , 36 In Cox’s proportional hazards regression model, 28 genes were found to be related to the survival of HCC patients when the P value was defined to be less than 0.001 ( Supplementary file 2: Table 4 ). Through Kaplan–Meier analysis, 11 genes were observed to be associated with HCC patients’ survival when the P value was defined to be less than 0.001 ( Supplementary file 2: Table 5 ).…”
Section: Resultsmentioning
confidence: 99%
“…Continuous variables were analyzed using Student t-test for normally distributed data, whereas non-parametric test was used for non-normally distributed data. Kaplan-Meier method [30] was used to calculate overall survival, using GraphPad Prism (version 8, GraphPad Software, San Diego, USA), and results compared by the log-rank test. Values with P < 0.05 were considered statistically significant by the two-tailed test.…”
Section: Resultsmentioning
confidence: 99%
“…For all available LUAD samples, Kaplan-Meier survival analysis curves ( 17 ) for the 49 EGFR CpG were plotted, with a P-value of 0.05 used as a statistical threshold, according to the group with high or low methylation. We did the above survival analysis curves in the EGFR wild-type group, EGFR mutation group and EGFR wild-type and PDL1 high expression group.…”
Section: Methodsmentioning
confidence: 99%