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Spss software ver 18

Manufactured by IBM
Sourced in United States

SPSS software version 18 is a statistical analysis tool used for data management, analysis, and presentation. It provides a range of statistical techniques for exploring, modeling, and understanding data. The software offers a user-friendly interface and a comprehensive set of analytical capabilities to support research, decision-making, and reporting.

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Lab products found in correlation

24 protocols using spss software ver 18

1

Statistical Analysis of Rehabilitation Outcomes

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SPSS software ver. 18.0.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis, and the p-value significance was set at 0.05. Baseline characteristics were summarized with descriptive statistics, including mean, standard deviation, and 95% confidence interval) for continuous variables, and frequencies for categorical variables. Fisher exact test was computed for comparisons of categorical variables (gender, primary event, and coexisting hypoperfusion), and Mann-Whitney test were used for comparisons of continuous variables (age, symptom duration, and K-MBI). To compare CNT scores between groups, Mann-Whitney test was used.
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2

Neoadjuvant Androgen Deprivation Therapy Outcomes

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The statistical analysis was performed using the SPSS software ver. 18.0.0 (SPSS Inc. Chicago, IL, USA). A p-value less than 0.05 was considered statistically significant. Categorical and continuous data were compared between the groups using Fisher exact test and Student t-test, respectively. The survival curves were generated using the Kaplan-Meier method and compared with log-rank test. The Cox proportional hazards model was adopted for multivariate analysis. To adjust for confounding factors between two groups, we incorporated a propensity score in the Cox proportional hazards model, which estimates the tendency to perform NADT. The propensity score was the linear predictor from a multivariate binary logistic model in which the response variable was NADT and the covariates were patient's age, the Eastern Cooperative Oncology Group performance status, clinical T stage, Gleason score, and pretreatment PSA.
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3

Colorectal Cancer Risk and Prognosis

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SPSS software ver. 18 (Chicago, USA) was employed to perform all statistical analyses. The quantitative data were analyzed by virtue of independent two-tailed t test, and chi-square test was applied to compare categorical data. Logistic regression was implemented to evaluate the association of SNPs with CRC risk and prognosis. And Kaplan-Meier curves were devised to mirror survival of CRC patients, with log-rank test adopted to estimate between-group distinctions. Additionally, type 2 gene-environment interaction (GEI) model [34 (link), 35 (link)] and multifactor dimensionality reduction (MDR) model [36 (link)] were established, so as to assess the interactive contribution of SNPs in UCA1 and environmental factors to CRC risk. Statistical significance was identified in case of P < 0.05.
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4

Predicting Sustained Virologic Response

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Continuous data from patients are expressed as the median with the interquartile range. The significance of the differences was analyzed statistically by the χ2, Fisher’s exact test, or Mann-Whitney U test, as appropriate, using SPSS software (Ver.18, SPSS Inc., Chicago, IL). To evaluate independent factors for predicting an SVR, variables that reached the P < 0.1 level in the univariate tests were used as candidate factors in a multivariate logistic regression analysis. In all of the cases, the level of significance was set as P value < 0.05.
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5

Comparing MIC Distributions of FLC and Nano-FLC

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Data was analyzed using SPSS software (ver.18, Chicago, IL, USA). MIC distributions were compared in groups for FLC and nano-FLC using Student’s t-test. Differences were statistically significant (two-tailed P-value≤0.05).
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6

EPT Taxa Richness and Water Quality

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Differences in mean monthly abundance of EPT in the three rivers were analysed using the Kruskal Wallis test at p=0.05 for non-normally distributed data (Kolgomorov-Smirnov test, p<0.05) using the SPSS software ver. 18. The total numbers of EPT taxa (genera) represented the EPT taxa Richness Index (Lenat 1993 ; Lenat & Penrose 1996 ) in each river. The relationship of the EPT taxa Richness Index with the WQI was assessed by Spearman’s Rho correlation and Regression analysis. The Canonical Correspondence Analysis (CCA) of CANOCO program version 4.0, investigated the influence of water quality parameters on the distribution and abundance of EPT taxa in the rivers. The Monte-Carlo test was applied to test the significance of the produced canonical axes with 499 permutations at p<0.05. The biplot ordination diagram was produced using the CanoDraw for Windows 4.1.
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7

Shoulder Pain and Disability Index Evaluation

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Statistical data were analyzed with the SPSS software ver. 18 (SPSS Inc., Chicago, IL, USA). We investigated the difference in improvement of SPADI, VNS, PROM, and hand power between the two groups by a two-way repeated measures analysis of variance (ANOVA) with Bonferroni correction as the post-hoc test. The significance level was defined as a p-value less than 0.05.
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8

Statistical Analysis of Social Science Data

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Statistical analyses were performed using the statistical package for the social
sciences (SPSS) software, ver. 18. Values are means ± SE of three independent
determinations.
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9

Statistical Analysis of Continuous Data

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Continuous data from patients are expressed as the median with the interquartile range. The significance of differences was analyzed statistically with the Chi-square, Fisher's exact test, or the Mann-Whitney U test, as appropriate, using SPSS software (Ver.18, SPSS Inc., Chicago, IL, USA). Correlations between parameters were determined by linear regression analysis. In all cases, the level of significance was set as P <0.05.
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10

Statistical Significance Analysis Protocols

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The significance of differences was analyzed statistically by the comparison t test with Welch’s correction or Mann-Whitney U test, using SPSS software (Ver.18, SPSS Inc., Chicago, IL). In all cases, the level of significance was set at p < 0.05.
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