Chi-square and independent (student’s) t-tests were employed for univariate analysis, Mann-Whitney U test was used for CHADS2 analysis; a p value of < 0.05 was considered statistically significant. Logistic regression was used to identify independent risk factors of in-hospital mortality. Multivariable logistic regression was used as the independent risk factor for stroke severity, ND, HT, and stroke outcome. Analysis was performed using MedCalc statistical software version 12.3 (MedCalc Software, Ostend, Belgium).
Statistical software version 12
Manufactured by MedCalc
Sourced in Belgium, United States
MedCalc Statistical Software version 12.7.7 is a comprehensive statistical software package. It provides a wide range of statistical analysis tools for medical and scientific research. The software is designed to perform various statistical calculations, including descriptive statistics, hypothesis testing, regression analysis, and more. It supports multiple data formats and offers a user-friendly interface for data management and analysis.
Automatically generated - may contain errors
Lab products found in correlation
Spss statistics for windows version 23, by IBM (1 mentions)
Prism version 6, by GraphPad (1 mentions)
Spss version 20, by IBM (1 mentions)
Spss statistics version 21, by IBM (1 mentions)
Spss statistical software version 16, by IBM (1 mentions)
Spss software 19, by IBM (1 mentions)
Jmp 10, by SAS Institute (1 mentions)
Prism 5.00 for windows, by GraphPad (1 mentions)
Prism 6.0 for windows, by GraphPad (1 mentions)
Sas version 9, by SAS Institute (1 mentions)
76 protocols using statistical software version 12
1
Univariate and Multivariate Analysis of Stroke Outcomes
2
Comparative Analysis of Dietary Interventions
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Values are reported as mean ± standard deviation (SD) for continuous variables or as number and percentages for categorical variables. Student's t‐test and Chi‐square test were used to evaluate intergroup difference, as appropriate. MedCalc statistical software (version 12.3) was used. A p‐value < 0.05 was considered statistically significant.
3
Comparative Analysis of Patient Characteristics
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The summary statistics of patients’ characteristics were tabulated either as mean ± standard deviation (SD) for continuous variables or as the number of patients and percentages for categorical variables.
Student’s t-test and chi-squared test were used to compare different variables, as appropriate. MedCalc statistical software (Version 12.3) (MedCalc Software, Ostend, Belgium) was used. A p-value < 0.05 was considered statistically significant.
Student’s t-test and chi-squared test were used to compare different variables, as appropriate. MedCalc statistical software (Version 12.3) (MedCalc Software, Ostend, Belgium) was used. A p-value < 0.05 was considered statistically significant.
4
IDH1/2 Mutations and MALAT1 Expression
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The pathogenic significance of IDH1 (R132H) and IDH2 (R172H) variants was determined using ClinVar. The associations between MALAT1 expression, IDH1/2 mutation status, and clinicopathological variables of patients were analyzed using IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, NY). The Chi-square test and Cox regression were used for multivariate analysis. The effects of IDH1/2 mutation status and MALAT1 expression on patient survival were determined by Kaplan-Meier analysis using MedCalc Statistical Software version 12.4.0 (MedCalc Software bvba, Ostend, Belgium).
5
VATS Lobectomy Operative Time Reduction
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Data are expressed as mean and standard deviation for quantitative variables and number and percentage for qualitative variables. Using published data [14 (link)], the mean operative time for patients undergoing VATS lobectomy was calculated to be 180 min (standard deviation: 23 min). We felt that a 20% reduction in operative time would be a clinically significant difference that might change operative management of future patients. With a power of 0.80 and alpha of 0.05, this required 21 patients in each group. Chi-square test was used to assess difference between qualitative variables while t-test calculated difference between quantitative data. A value of p < 0.05 was considered statistically significant. MedCalc® statistical software Version 12.4.0 was used for analysis.
6
Immunophenotypes in Locally Advanced Rectal Cancer
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Our primary objective was to compare immunephenotypes in patients with LARC (N = 13) and healthy controls (N = 15). Repeated-measures ANOVA were used for comparison between 2 groups over time. The non-parametric Mann-Whitney U test and Kruskal-Wallis test were used to evaluate the significance of the differences of the mean ranks, owing to a lack of compatibility to the normal distribution. Per-comparison two-sided p values less than 0.05 were considered statistically significant. Analyses were performed using MedCalc statistical software Version 12.3.0.
7
Survival Analysis of DDW Consumption
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The primary endpoint of the study was survival, and the Kaplan-Meier method was applied to calculate survival curves. Statistical analysis was performed using MedCalc Statistical Software, Version 12.3.0. Because the study was performed retrospectively and patients started DDWconsumption at different time points after diagnosis, MST was computed both from the time of diagnosis of lung cancer and from the start of DDW-consumption. The mean difference is significant at 0.05 level.
For correlation analysis, the Pearson method was used. Variables were duration of DDW-consumption in days and survival time in days. The calculations were performed by Adware Research Ltd (Balatonfüred, Hungary).
For correlation analysis, the Pearson method was used. Variables were duration of DDW-consumption in days and survival time in days. The calculations were performed by Adware Research Ltd (Balatonfüred, Hungary).
8
Serum LOXL2 Diagnostic for Cancer and IPF
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The level of LOXL2 in serum samples was compared using one-way ANOVA adjusted for Tukey's multiple comparisons test (parametric data), Kruskal-Wallis adjusted for Dunn's multiple comparisons test (non-parametric data) or unpaired, two-tailed Mann-Whitney test. The diagnostic power to identify cancer patients or IPF patients was investigated by the area under the receiver operating characteristics (AUROC). Sensitivity and specificity were determined for optimal cut-off values based on the ROC curves. P-values < 0.05 were considered significant. Graphs and statistical analyses were performed using GraphPad Prism version 6 (GraphPad Software, Inc., CA, USA) and MedCalc Statistical Software version 12 (MedCalc Software, Ostend, Belgium).
9
Comparison of Medical Device Measurements
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All of the statistical analyses were performed using MedCalc Statistical Software version 12.7.7 (MedCalc Software bv, Ostend, Belgium) The descriptive statistics were reported as the mean and SD or minimum-maximum for continuous data, and the number of cases and percentages were used for nominal variables. The Wilcoxon signed-rank test was used for comparisons of dependent variables between 2 groups and the Friedman test was used for comparisons of more than 2 groups. A value of p<0.0125 was considered to indicate statistical significance for binary comparisons. Bland-Altman plots were used to compare the agreement of the device measurements. A value of p<0.05 was accepted as statistically significant.
10
Statistical Analysis Methods in Research
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Statistical analysis was performed using the MedCalc Statistical Software, version 12.7.7 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org ; 2013). Student t-test was used to compare data between normally distributed groups, and the Mann-Whitney U-test was used to compare data between non-normally distributed groups, with non-parametric statistical methods used for values with skewed distribution. Changes in measurement values between time points were evaluated by paired sample t-test for normally distributed data and by Wilcoxon Signed Rank test for non-normally distributed data. A χ² test was used to evaluate positive and negative responses to sensibility tests. EPT and Cold Test results were compared using a McNemar test and Kappa statistics. A two-sided P value of <0.05 was considered statistically significant.
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