The “strongly agree” and “agree” and the “strongly disagree” and “disagree” categories were combined into nominal categories of “agree” and “disagree” to facilitate statistical analysis and interpretation. The chi‐squared test was used to test for differences between the groups.5 We compared the proportion of “yes” responses between the pre‐ and post‐implementation periods. Statistical analyses were performed using STATA/SE version 15.1 for Windows (Stata Corp. LLC, College Station, TX). In all analyses, P < .05 was taken to indicate statistical significance.
Stata se version 15.1 for windows
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Stata/SE version 15.1 for Windows is a software application for data analysis, statistical modeling, and graphics. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is designed to handle large datasets and complex statistical analyses.
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Lab products found in correlation
3 protocols using stata se version 15.1 for windows
1
Statistical Analysis of Survey Responses
2
Comprehensive Statistical Analysis of Survival Data
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Frequencies were calculated for categorical variables. For continuous variables, median (min–max) was shown. Overall survival (OS) time was calculated from the date of therapy initiation until the last follow-up visit or death. All statistical analyses were performed using Stata/SE version 15.1 for Windows (StataCorpLP, College Station, TX, USA).
3
Prognostic Factors in Oncology Cohort
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The aim of this secondary analysis was to identify N regression (according to the Tsekrekos' score) in a subgroup of patients enrolled in the previous randomized study, to investigate the relationship existing between each system and the clinico-pathological variables and to analyze the relationship of the two different systems (Becker and Tsekrekos) with regards to the prognosis. Kruskal-Wallis test was used to assess the association among Tsekrekos' score and continuous variables, while chi-square test or Fisher exact's test were used for categorical variables, as appropriate.
Overall survival (OS) was defined as the time from randomization to the date of death from any cause, or last known alive date. Progression free survival (PFS) was defined as the time from randomization to the date of the first documented progression (any disease progression) or death from any cause. PFS and OS were estimated by the Kaplan-Meier method and curves were compared by the log-rank test (at a significance level of 5%). Estimated hazard ratios (HR) and their 95% confidence interval (CI)I were calculated using univariable and multivariable Cox proportional hazard models. All p values were based on two-sided testing and statistical analyses were performed using Stata/SE version 15.1 for Windows (StataCorpLP, College Station, TX, USA).
Overall survival (OS) was defined as the time from randomization to the date of death from any cause, or last known alive date. Progression free survival (PFS) was defined as the time from randomization to the date of the first documented progression (any disease progression) or death from any cause. PFS and OS were estimated by the Kaplan-Meier method and curves were compared by the log-rank test (at a significance level of 5%). Estimated hazard ratios (HR) and their 95% confidence interval (CI)I were calculated using univariable and multivariable Cox proportional hazard models. All p values were based on two-sided testing and statistical analyses were performed using Stata/SE version 15.1 for Windows (StataCorpLP, College Station, TX, USA).
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