Stata be version 17

Cutoff values for sPD-1 and sPD-L1 concentrations were defined as the median for each cancer type, so that survival analysis according to the soluble markers would not be affected by the potential difference in distributions of sPD-1 and sPD-L1 concentrations among cancer types. The outcome of PD-1 blockade therapy was compared between patients with high or low circulating levels of sPD-1 or sPD-L1. Pairwise comparisons of sPD-1 and sPD-L1 levels were also performed. PFS and OS curves were constructed by the Kaplan-Meier method. Between-group differences in survival analyses were assessed with the log-rank test. The hazard ratio (HR) and its 95% confidence interval (CI) were determined with the use of a Cox proportional hazard regression model. Adjustment for possible confounding factors was performed with a multivariable regression model including explanatory variables with a p value of <0.1 in univariable analysis. A two-sided p value of <0.05 was considered statistically significant. All statistical analysis was performed with Stata BE version 17.0 (StataCorp) or GraphPad Prism 9.0 software.

Descriptive statistics, including frequencies and percentages, were used to present the categorical variables, and chi-square tests were employed to examine the differences between the two groups by evaluating the distribution of these variables. A complex survey design was considered by adjusting for stratification and clustering at the primary sampling unit, using sampling weights to compute nationwide representative frequencies and proportions. Multiple imputations were conducted using the predictive mean-matching method to address missing values, with k = 5 imputations.
A logistic regression model was used to calculate the odds of having poor HRQoL among cancer survivors based on their smoking status (never, former, and current smokers), adjusting for multiple potential confounders based on the aforementioned covariates. The predictive probability of poor HRQoL for each smoking exposure group was calculated. Secondary analyses explored the effects of tobacco-related cancers (TRC) and non-TRC on HRQoL, as well as potential interactions between HRQoL, age, and gender. Statistical significance was determined at α < 0.05, with the data analyzed using STATA/BE version 17.0.

Data analyses were conducted using STATA/BE version 17.0. Independent means t-tests and Fisher’s exact test compared intervention group participants to control group participants as well as acceptors to decliners to participate in the study. Free-text responses were summarized and used to provide context for our findings. Patient and provider attitudes were assessed using descriptive statistics. In addition, we used independent t-tests to compare the difference in rating of the patient and provider attitudes with and without device use for video visits. Statistical significance criterion was set at p < 0.05.

Data analyses were conducted using STATA/BE version 17.0. Independent means t-tests and Fisher’s exact test compared intervention group participants to control group participants as well as acceptors to decliners to participate in the study. Free-text responses were summarized and used to provide context for our findings. Patient and provider attitudes were assessed using descriptive statistics. In addition, we used independent t-tests to compare the difference in rating of the patient and provider attitudes with and without device use for video visits. Statistical significance criterion was set at p < 0.05.

The five logistic regression models described above were also repeated for an ASQ:SE score categorized as (i) ≥59; and (ii) < 59 (Supplement: Tables 4 and 5). The robustness of the main results to the way of coding the common variables encompassing both parents was also evaluated through complete case analysis, by running logistic regressions with only those children whose parents had all information available on education level and lifestyle (Supplement: Tables 6 and 7).
All analysis were performed using Stata/BE version 17.0 (StataCorp, College Station, Texas 77,845 US).