All dosimetric values were reported in descriptive statistics as mean ± standard deviation and median (minimum-maximum) values. Dosimetric parameters were tested for normal distribution using Kolmogorov-Smirnov test. Because two different plans were generated in the CT image set of every patient, the data were considered matched pair and paired tests were used to compare the two plans. For two nonnormally distributed dependent variables, a corresponding nonparametric test Wilcoxon test was used, and for more than two nonnormally distributed dependent variables, Friedman test was used. All statistical analyses were performed with 5% level of significance, and P < 0.05 was considered statistically significant. Analysis was performed using MedCalc Statistical Software version 12.7.7 program (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2013).
Statistical software version 12.7.7 program
Manufactured by MedCalc
Sourced in Belgium
MedCalc Statistical Software version 12.7.7 is a comprehensive data analysis and statistical software program. It provides a wide range of statistical tests and functions to analyze medical and scientific data. The software is designed to assist researchers, clinicians, and other professionals in conducting statistical analyses and interpreting the results.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using statistical software version 12.7.7 program
1
Dosimetric Comparison of Radiotherapy Plans
2
Statistical Analysis of Continuous and Categorical Variables
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The consistency of continuous variables to normal distribution was tested with the Shapiro–Wilk test. Descriptive statistics were used to define the average of continuous variables, standard deviation, minimum, median, and maximum). Comparisons of two variables not suitable for independent and normal distributions were made using the Mann–Whitney U test. The Chi-square test (or Fisher’s exact test where appropriate) was used to examine the relationship between categorical variables. The statistically significant level was set at 0.05. The analyses were performed using the MedCalc Statistical Software version 12.7.7 Program (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org ; 2013).
3
Statistical Analysis of Diagnostic Tests
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical Analyzes were performed by using MedCalc Statistical Software Version 12.7.7 Program (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2013). Descriptive analysis were used to define continuous variables (mean±standart deviation, minimum, median, maximum). The relationship between the two independent continuous variables that do not fit the normal distribution was examined by Mann-Witney U test; more than two independent continuous variables that do not fit the normal distribution was examined by Kruskal Wallis Test. Chi-Square (or Fisher Exact test where appropriate) was used to examine the relationship between categorical variables. Sensitivity and Specificity calculations are made to examine the power of applied diagnostic tests. Statistical significance level was p<0.05.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!