Multivariate and univariate Cox regression analyses

XH Xinyao Hu
DL Dan Li
HZ Hua Zhu
TY Tao Yu
XX Xiaoxing Xiong
XX Ximing Xu
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Multivariate and univariate Cox regression analyses (p < 0.05 for significance) were applied to assess the correlation of ATP6V1F expression with overall survival (OS) and other clinical characteristics (age, race, sex, pTNM stage and grade). A nomogram was developed to determine whether ATP6V1F and such clinicopathological factors are independent contributors to OS. We performed multivariate and univariate Cox hazard regression analyses on the LIHC samples from TCGA using the R package. To predict OS in LIHC patients, we built a validated nomogram using the R 'rms' package and the 'survivor' package. We divided each element into points, summed the points for each argument, and eventually verified the nomogram using calibration curves and the harmonic index (c-index).

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