The results were presented as medians (interquartile ranges [IQRs]), means (standard deviations), or numbers (%), as appropriate. The continuous variables were compared using an independent t-test or the Mann–Whitney U test and the categorical variables using Pearson's chi-square test or Fisher's exact test, as appropriate. The clinical variables showing between-group differences with p-values of <0.100 in the univariable logistic regression analyses were included in the multivariable logistic regression analyses using the enter method to determine factors that independently predict CAPA. Odds ratios and their 95% confidence intervals (CIs) were also calculated. Kaplan–Meier curves were constructed to evaluate the mortality rate and infectious viral shedding time of SARS-CoV-2. Two-sided tests were used, and p-values of <0.050 were considered statistically significant. All statistical analyses were performed using IBM SPSS Statistics for Windows/Macintosh, version 22.0 (IBM Corp., Armonk, NY, USA).
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SPSS Statistics for Windows/Macintosh, Version 22.0 is a statistical software package developed by IBM. It provides tools for data management, analysis, and presentation. The software is designed to handle a variety of data types and offers a range of statistical techniques for users to analyze and interpret their data.
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Lab products found in correlation
8 protocols using spss statistics for windows macintosh version 22
1
Predictors of COVID-19-Associated Pneumonia
2
Comparing Direct Laryngoscopy and McGrath VL
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The sample size calculation was based on the primary outcome. In a previous study, the mean ± standard deviation (SD) of the intubation time when neonates with difficulty airway (Cormack–Lehane grades III and IV) were intubated using a direct laryngoscope was 67.2 ± 8.54 s [18 (link)]. Assuming a clinically significant increase in intubation time of 10 s or more during intubation using the McGrath VL, 12 patients in each group were required with a type 1 error of 0.05 and a power of 0.8. Considering a dropout rate of approximately 20%, we enrolled a total of 30 patients.
Data are expressed as mean ± SD, median (interquartile range, (range)), or the number of patients (%). The normality of data distribution was tested using the Kolmogorov–Smirnov test. Continuous variables were compared using Student’s t-test for normally distributed data or the Mann–Whitney U-test for non-normally distributed data. Dichotomous variables were compared using the chi-square or Fisher’s exact tests, as appropriate. A p < 0.05 was considered statistically significant. Data analyses were performed using G*power (version 3.1.9.2, Universität Düsseldorf, Düsseldorf, Germany) and IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA).
Data are expressed as mean ± SD, median (interquartile range, (range)), or the number of patients (%). The normality of data distribution was tested using the Kolmogorov–Smirnov test. Continuous variables were compared using Student’s t-test for normally distributed data or the Mann–Whitney U-test for non-normally distributed data. Dichotomous variables were compared using the chi-square or Fisher’s exact tests, as appropriate. A p < 0.05 was considered statistically significant. Data analyses were performed using G*power (version 3.1.9.2, Universität Düsseldorf, Düsseldorf, Germany) and IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA).
3
Accuracy of Bracket Placement in Crowding Cases
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All statistical analyses were performed using IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA), and were conducted separately for the maxillary and mandibular arches. One researcher (J.H.P.) performed all the measurements and statistical analyses. The normality test of the collected outcomes was confirmed to follow normal distribution by using the Kolmogorov–Smirnov test (p > 0.05). The 3D position of the bracket placed on the virtual model was regarded as the reference. After attaching the bracket to the RP using the custom transfer jig, transfer accuracy was verified by determining how far the bracket was from the reference position. Therefore, a one-sample t-test was performed in which the test value was set to zero in each group. An independent t-test was used to compare the two independent groups with different resin bases. A one-way analysis of variance (ANOVA) followed by Bonferroni’s post hoc test was used for intergroup comparison of the three crowding types. Finally, to evaluate the reproducibility of the six measurement values (M-D, B-L, O-G, T, A, and R), 30 teeth were randomly chosen, and the measurements for each bracket were repeated after an interval of 2 weeks.
4
Choroidal Thickness Changes in Hemodialysis
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All values are expressed as the mean ± standard deviation. The Mann−Whitney test was used to compare characteristics between the DM and non-DM groups. The Wilcoxon signed-rank test was used to compare the IOP, AXL, and choroidal thickness before and after hemodialysis. The repeated-measures ANOVA test was used to compare the change in choroidal thickness after hemodialysis according to the subgroups (DM vs non-DM). A regression analysis was performed to identify factors related to the changes in choroidal thickness. IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY) was used for all statistical analyses. P less than .05 was considered significant.
5
Neck Pain VAS Assessment Protocol
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Statistical analysis was performed using IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA). The difference between initial and last follow‐up neck pain VAS was analyzed by paired t‐test. A P value less than 0.05 was considered significant.
6
Statistical Analysis of Primary Ciliary Dyskinesia
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The data were analyzed using IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY). The Shapiro–Wilk test was used to evaluate the normality of the distribution for all variables. For values fitting the normal distribution, comparisons between the PCD and control groups were conducted using the independent-samples t-test; otherwise, the nonparametric Mann–Whitney U test and Kruskal–Wallis H test were used. Multivariate logistic regression was used to assess the association between the parameters and PCD. A two-tailed p value less than 0.05 was considered statistically significant for all tests.
7
Assessing Neck Pain and Disability
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Statistical analysis was performed using IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA). The difference between initial and last follow‐up neck pain VAS and NDI was analyzed by paired t‐test. The chi‐square test was used for comparisons of variables between the two groups. The correlation coefficients for intra‐observer and inter‐observer reliabilities of new Park's classification were estimated using the Pearson correlation test. The level of significance was set at P < 0.05.
8
Microimplant Removal Torque Analysis
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As all the groups showed normal distribution when assessed using the Kolmogorov–Smirnov test, an independent t-test was carried out to compare the differences in the placement/removal torques and in-bone stay period of the microimplants between the post-use and post-retention removal groups and/or between the placement sites or the placement methods.
The Pearson correlation coefficient was calculated to determine the relationship between the removal torques and other variables, such as age, placement torques, microimplant length and diameter, and the total/unloading in-bone stay period. Thereafter, multiple linear regression analysis with stepwise selection was performed to demonstrate the correlation between the removal torques and associated variables. All statistical analyses were performed using IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA), and the significance level was set at p < 0.05.
The Pearson correlation coefficient was calculated to determine the relationship between the removal torques and other variables, such as age, placement torques, microimplant length and diameter, and the total/unloading in-bone stay period. Thereafter, multiple linear regression analysis with stepwise selection was performed to demonstrate the correlation between the removal torques and associated variables. All statistical analyses were performed using IBM SPSS Statistics for Windows/Macintosh, Version 22.0 (IBM Corp., Armonk, NY, USA), and the significance level was set at p < 0.05.
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