Statistical Analysis of Lung Cancer Complicated with PE: Methods and Results

We conducted statistical analyses using R (version 4.1.1) or SPSS (version 22.0). For dichotomous data, we reported frequency and proportion and used the Chi-square test for hypothesis testing. For continuous variables, we reported mean and SD or median and interquartile range, and used t-tests or Wilcoxon signed rank tests where applicable. We visualized survival characteristics using the Kaplan-Meier curve and tested and adjusted relationships between variables and survival using Cox regression analysis.

Due to our limited sample size when exploring the risk factors for lung cancer complicated with PE, we only included variables with a p-value of no more than 0.05 on univariate analysis (p-value ≤ 0.1) and well-acknowledged factors in our multivariate analysis using conditional logistic regression models. We used a p-value of less than 0.05 to indicate statistical significance.