Statistical analysis was performed using SPSS software 24.0 (SPSS Inc., Chicago, IL). The Wilk-Shapiro test was used to assess normal distribution. Levels of Aβ40-HMW and Aβ42-HMW were not normally distributed and logarithmic transformations were therefore used to correct for the skewed data distributions. Differences in levels of Aβ40-HMW, Aβ42-HMW, and IAPPHMW were analyzed by use of student t-test (when two groups were compared) and ANOVA followed by Tukey HSD test (when four groups were compared). Differences in levels of Aβ40-HMW and Aβ42-HMW were also analyzed using ANCOVA analysis with APOE as covariate. Correlations between the investigated variables were examined using two-tailed Pearson correlation test, except for in the correlation analyses involving NFT scores and Aβ scores, which were performed using Spearman correlation test . Results are presented as mean±standard deviation. A p < 0.05 was considered significant.
Spss software 24
Manufactured by IBM
Sourced in United States
SPSS Software 24.0 is a comprehensive statistical analysis tool developed by IBM. It provides a wide range of data analysis and modeling capabilities, enabling users to explore, visualize, and understand their data. The software is designed to help users make informed decisions by analyzing complex datasets and identifying meaningful patterns and relationships.
Automatically generated - may contain errors
Lab products found in correlation
Prism 7, by GraphPad (5 mentions)
Prism 6, by GraphPad (2 mentions)
Prism 8, by GraphPad (1 mentions)
Stata v 15, by StataCorp (1 mentions)
Origin 8, by OriginLab (1 mentions)
Sigmaplot 13, by Grafiti LLC (1 mentions)
Stata ic 15, by StataCorp (1 mentions)
Stat6, by Santa Cruz Biotechnology (1 mentions)
Satb2, by Cell Marque (1 mentions)
79 protocols using spss software 24
1
Alzheimer's Biomarker Analysis Protocol
2
Evaluating Neural Responses to Food
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Behavioral data were analyzed using SPSS Software 24.0. Independent samples t-tests or chi-square tests were conducted to test between‐group differences in age, sex, weight and food evaluation pre-training. Training‐by‐time effects were tested with several repeated measures ANOVAs. Specifically, the effects of training on ratings of food images were tested with a 2 (training or control) × 2 (pre-training on visit #2 or post-training on visit #6) design; weight change and neural responses to food images were tested with a 2 (training or control) × 2 (pre-training on visit #1 or post-training on visit #7) design. When analyzing the effect of training on food pictures ratings, hunger difference between the pre-training on visit #2 and post-training on visit #6 was added into the ANOVA model as a covariate of no interest, given the influence of hunger on food evaluation (Chen et al., 2018b (link)). For all variables, cases with more than 2.5 standard deviations from their group mean were deemed to be outliers and excluded from the analysis (Houben and Jansen, 2015 (link)).
3
Comorbidity of MSDs and Depression
4
Analyzing miR-1204 and ZNF418 Correlation
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Data were shown as Mean ± SD performed at least three independent replicates. SPSS software, 24.0 (SPSS Inc., Chicago, IL, USA) and Graphpad Prism 6.0 (San Diego, CA, USA) were used for one-way ANOVA (multiple groups), a two-tailed Student t-test (2 groups). Kaplan-Meier method and Log-rank test were used for survival analysis. Spearman Pearson correlation analysis was performed to analyse the correlation between miR-1204 and ZNF418 mRNA expression. Differences were defined as statistically significant if P<0.05.
5
In Vitro Cell Culture Assay
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Data are presented as means ± the standard deviation, and at least three independent replicates were performed. One-way analysis of variance and two-tailed Student’s t-test were performed using SPSS software 24.0 (SPSS Inc., Chicago, IL, USA) and GraphPad Prism 7.0 (San Diego, CA, USA). Statistical significance was assessed via the Kaplan–Meier method, Pearson’s correlation analysis, and the Log rank test. Photoshop and Adobe Illustrator were used to generate images. p < 0.05 was deemed to indicate statistical significance.
6
Prognostic Significance of MSRB3
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Statistical analyses were performed by using SPSS software 24.0. Survival curves were calculated by the Kaplan-Meier (KM) method and compared with the log-rank test. Univariate and multivariate analyses are analyzed by Cox proportional hazards regression models. Forward stepwise regression is performed to select the significant variables constitute to the final multivariable model. The prediction accuracy of Methionine sulfoxide reductase B3 (MSRB3) assessed by the time-dependent receiver-operating characteristics (ROC) curves and AUC curve. All statistic test in the present study were set as P<0.05 as statistical significance.
7
Statistical Analysis of Experimental Data
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All statistical analyses were performed using the SPSS software 24.0 (SPSS Inc. Chicago, IL, United States). Data were presented as mean ± SEM. Differences between groups were evaluated with one-way ANOVA, followed by LSD or Dunnett’s T3. p-values less than 0.05 were considered statistically significant.
8
Descriptive Statistics of Syrian Adolescents' Malocclusion
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Descriptive statistics (Means, SDs and 95% CIs) of all variables were calculated with the use of the SPSS software 24.0 (SPSS Inc., Chicago, IL, USA). All variables in the total group (43 Syrian adolescents with Class II-1 malocclusion) and within each gender group (24 Syrian females and 19 Syrian males) were normally distributed according to Shapiro–Wilk test.
9
Nutritional Evaluation of ESBMs
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The chamber was considered an experiment unit. A one-way analysis of variance was conducted on growth performance, nitrogen balance, energy values, and energy balance using SPSS software 24.0 (SPSS Inc., Chicago, IL, USA). The “dietary treatment” was considered as a fixed variable, while the “chamber” and “batch” were considered as random variables. The results were displayed using the main effect of dietary treatment. Duncan’s method was used to make multiple comparisons. The energy values of ESBMs were analyzed using a two-way analysis of variance. “Age of birds” and “ESBMs” were considered as main effects. In addition, the variation of ESBMs was analyzed using the principal component analysis (PCA ) procedure with “FactoMineR” and “factoextra” packages using R 4.3.3 software. Differences were considered significant at p < 0.05.
10
Comparison of Sedation Regimens
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We assumed that the success rates of sedation from both ciprofol-remifentanil and propofol-remifentanil would be 88%, according to the result of our preliminary study. With a non-inferiority margin of 20% on the relative scale between groups for the primary endpoint, a power of 80%, and a one-sided alpha of 2.5%, the total sample size needed was 82. Assuming a dropout rate of 10%, 46 patients were recruited in each group as a minimum population size.
Statistical analysis was performed using SPSS software 24.0 (SPSS Inc., Chicago, IL, United States). Shapiro–Wilk and Levene tests were used to check the distribution and homogeneity of data. Continuous outcomes were presented as means ± standard deviations or medians and interquartile ranges, and they were analyzed with the Student’s t-test or Kolmogorov–Smirnov Z test. Repeated-measures analysis of variance was used to assess hemodynamic measurements. Qualitative data are presented as numbers and frequencies and are analyzed with χ2 or Fisher’s exact tests. p < 0.05 was considered statistically significant.
Statistical analysis was performed using SPSS software 24.0 (SPSS Inc., Chicago, IL, United States). Shapiro–Wilk and Levene tests were used to check the distribution and homogeneity of data. Continuous outcomes were presented as means ± standard deviations or medians and interquartile ranges, and they were analyzed with the Student’s t-test or Kolmogorov–Smirnov Z test. Repeated-measures analysis of variance was used to assess hemodynamic measurements. Qualitative data are presented as numbers and frequencies and are analyzed with χ2 or Fisher’s exact tests. p < 0.05 was considered statistically significant.
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