Statistical Methods for Survival Analysis

Categorical variables were compared using the Kruskal–Wallis test, and non-normally distributed data were analyzed using the Mann–Whitney U test. survival was estimated using Kaplan–Meier survival curves and compared using the log-rank test. A p-value <0.05 was considered statistically significant. Data analysis was performed using R Foundation Statistical software (R 3.2.2) with TableOne, ggplot2, Hmisc, and survival packages (The R Foundation for Statistical Computing, Vienna, Austria) as previously described.19 (link)^,25 (link)^,26 (link)

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Kamarajah S.K., Madhavan A., Chmelo J., Navidi M., Wahed S., Immanuel A., Hayes N., Griffin S.M, & Phillips A.W. (2021). Impact of Smoking Status on Perioperative Morbidity, Mortality, and Long-Term Survival Following Transthoracic Esophagectomy for Esophageal Cancer. Annals of Surgical Oncology, 28(9), 4905-4915.

Publication 2021

TableOne ggplot2 Hmisc survival

Corresponding Organization :

Other organizations : Royal Victoria Infirmary, Newcastle University

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