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R r studio software

Manufactured by IBM
Sourced in United States

R/R Studio software is a free, open-source integrated development environment (IDE) for the R programming language, which is widely used for statistical computing and data visualization. The software provides a user-friendly interface for writing, testing, and executing R code, as well as tools for managing R packages, debugging, and visualizing data.

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Lab products found in correlation

5 protocols using r r studio software

1

Statistical Analysis of Angioembolization Outcomes

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The collected data were stored in a Microsoft Excel spreadsheet (Microsoft Inc., Redmond, WA, USA). Statistical analyses were conducted on an intention-to-treat basis, using SPSS software (SPSS, version 22 for Windows; SPSS Inc., Chicago, IL, USA) and R/R Studio software. The analyses were conducted using the Modified Intention-To-Treat population, which consisted of all the randomized participants who underwent at least one angioembolization [26 (link),27 (link)]. The Kolmogorov–Smirnov and Shapiro–Wilk tests were employed to validate the normality assumption of the data. Categorical data are shown as a frequency (% value) [28 (link)]. Continuous data are reported as previously described [29 (link),30 (link)]. The unpaired Student’s t-test [31 (link)], the chi-squared/Fisher’s exact tests, and the Wilcoxon rank-sum test [32 (link),33 (link)] were performed as appropriate. For the tests stated above, a p-value of 0.05 was considered statistically significant.
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2

Data Analysis of Embolization Procedure Outcomes

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The data were recorded and organized in a Microsoft Excel spreadsheet (Microsoft Inc, Redmond, WA, USA), while statistical analyses were conducted based on the intention-to-treat principle using SPSS software (version 22 for Windows; SPSS Inc, Chicago, IL, USA) and R/R Studio software. The Modified Intention-To-Treat population, consisting of all randomized patients who underwent at least one embolization procedure, was utilized for the subsequent analyses [37 (link),38 (link)]. Kolmogorov–Smirnov and Shapiro–Wilk tests were performed to verify the normality assumption of data. Categorical data are presented as frequencies (% value) [39 (link)]. Continuous data with a normal distribution are expressed as mean ± standard deviation, whereas continuous data that do not follow a normal distribution are presented as median (first to third quartile) [40 (link),41 (link)]. Statistical differences in continuous data with a normal distribution were assessed using the unpaired Student t-test, while categorical data and continuous data without a normal distribution were evaluated using the Chi-squared/Fisher’s exact tests and the Mann–Whitney test, respectively [42 (link),43 (link),44 (link)]. A p-value of less than 0.05 was considered statistically significant for all the aforementioned tests.
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3

Statistical Analysis of Embolization Treatments

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All randomized patients who underwent at least one embolization treatment were included in the analysis as the Modified Intention-To-Treat population [44 (link),45 (link)]. The data’s assumed normality was checked using the Kolmogorov–Smirnov and Shapiro–Wilk tests. Frequency (% value) is the presentation format for categorical data [46 (link)]. Data with a continuous normal distribution are shown as mean ± standard deviation. Data that are continuous but not normally distributed are shown as the median (first to third quartile) [47 (link),48 (link)]. Continuous normally distributed data were evaluated using an unpaired Student’s t-test, whilst categorical and continuous not normally distributed data were evaluated using the Chi-squared/Fisher’s exact tests and the Mann–Whitney test, respectively. [49 (link),50 (link),51 (link)]. The aforementioned tests were deemed statistically significant at a p-value of 0.05. The data were maintained in an Excel spreadsheet (Microsoft Inc, Redmond, Wash) and the statistical analyses were performed on an intention-to-treat basis, using SPSS software (SPSS, v. 22 for Windows; SPSS Inc., Chicago IL, USA) and R/R Studio software.
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4

Statistical Analyses for Embolization Treatment Outcomes

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Data were maintained in an Excel spreadsheet (Microsoft Inc., Redmond, WA, USA) and the statistical analyses were performed on an intention-to-treat basis, using SPSS software (SPSS, version 22 for Windows; SPSS Inc., Chicago, IL, USA) and R/R Studio software. The analyses were based on the modified intention-to-treat population, defined as all randomized patients who received at least one embolization treatment [61 (link),62 (link)]. The Kolmogorov–Smirnov test and the Shapiro–Wilk test were used to verify the normality assumption of data. Categorical data are presented as frequencies (percentage value). Continuous normally distributed data are presented as means ± standard deviations. Continuous not normally distributed data are presented as medians (first–third quartile) [63 (link),64 (link),65 (link)]. The unpaired Student’ t-test was used to assess statistical differences for continuous normally distributed data [66 (link)], whereas categorical and continuous not normally distributed data were assessed using the Chi-squared/Fisher’s exact tests and the Mann–Whitney test, respectively [67 (link),68 (link)]. A p-value of <0.05 was considered statistically significant for the aforementioned tests.
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5

Statistical Analysis of Embolization Procedure Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were maintained in an Excel spreadsheet (Microsoft Inc., Redmond, WA, USA), and the statistical analyses were performed on an intention-to-treat basis using the SPSS software (SPSS, v. 22 for Windows; SPSS Inc., Chicago IL, USA) and the R/R Studio software. All randomized patients undergoing at least one embolization procedure comprised the modified intention-to-treat population used for the analyses [48 (link),49 (link)]. The normality assumption of the data was verified using the Kolmogorov–Smirnov and Shapiro–Wilk tests. Frequency (% value) is the presentation format for categorical data [50 (link)]. Data with a continuous normal distribution are shown as mean ± standard deviation. Data that are continuous but not normally distributed are shown as the median (first to third quartile) [51 (link),52 (link)]. An unpaired Student’s t-test was used to assess statistical differences for continuous normally distributed data, while categorical and continuous not normally distributed data were assessed using the Chi-squared/Fisher’s exact tests and the Mann–Whitney test, respectively [53 (link),54 (link),55 (link)]. A p-value of <0.05 was considered statistically significant for the aforementioned tests.
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