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Spss 15.0 software package

Manufactured by IBM
Sourced in United States

SPSS 15.0 is a software package that provides statistical analysis, data management, and data visualization capabilities. It is designed to help users analyze and interpret data. The software includes tools for descriptive statistics, regression analysis, factor analysis, and more. SPSS 15.0 is widely used in academic, research, and business settings.

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10 protocols using spss 15.0 software package

1

Comparative Analysis of Measurement Data

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Data were expressed as the mean ± standard deviation. The SPSS 15.0 software package (SPSS, Inc., Chicago, IL, USA) was used for data analysis. One-way analysis of variance was performed to compare measurement data among the groups and post-hoc analysis of significant effects was performed using Dunnett's test. P<0.05 was considered to indicate a statistically significant difference. Each experiment was repeated ≥3 times.
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2

Retrospective Comparison of Glioblastoma Treatments

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All the considered parameters were categorized as follows: patients' age at diagnosis (<50 ys and >50 ys), KPS (100–80 and = 70); extent of surgery (GTR: gross total resection; B-STR: biopsy or subtotal resection), MGMT status (methylated and unmethylated); RT dose (SDRT, 59,4–60 Gy, and HDRT, 69,4–70 Gy). In order to reduce bias selection due to the retrospective setting of analysis, we performed a cross-tab analysis (chi-square test) according to age, KPS, extent of surgery, tumor location, MGMT methylation status, and radiological response of SDRT-TMZ versus HDRT-TMZ patients groups.
We estimated PDFS and OS with the Kaplan-Meier method. The univariate survival analysis was used to identify the prognostic parameters. We used the log-rank test to assess the significance of survival differences for the considered parameters (p values ≤ 0,05 were considered as statistically significant). We also performed a multivariate analysis (Cox regression) to quantify the relationship between survival and potential predictors, in order to identify a subgroup of independent factors significantly related to survival. All the statistical analyses were performed with the SPSS 15.0 software package for Windows.
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3

Tinnitus Handicap Inventory Reduction Comparison

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In this trial, our primary outcome measure is the Tinnitus Handicap Inventory. We define the treatment response as a reduction in score on the Tinnitus Handicap Inventory following treatments of 20 points or more. First, baseline characteristics will be analyzed using descriptive statistics for each group. Then repeated measures analysis is performed to make comparisons among the treatment groups and the control group (ABVN plus tone versus electrical acupuncture, non-ABVN plus tone versus electrical acupuncture, and ABVN versus electrical acupuncture) at different time points (4th, 8th, and 12th week). If a significant difference is found, the next step is to make comparisons among the three treatment groups in effectiveness. Multiple comparisons will be adjusted according to the Bonferroni correction method. The Kruskal-Wallis test will be employed in the analysis of skewed distribution data. Analysis of variance will be used for numerical variables, and the χ2 test for categorical variables.
Statistical analysis will be performed by the Medical College of China Three Gorges University, No.8, University Avenue, Yichang, Hubei, China. The statistician is blinded from the allocation of groups. The SPSS 15.0 software package (SPSS Inc., Chicago, IL, USA) will be used to analyze the data.
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4

Snoring and Carotid Intima-Media Thickness

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Differences between snorers and non-snorers in subject characteristics were compared using Student’s t-test for continuous variables and a chi-square test for categorical variables. Analysis of covariance was used to evaluate IMT differences according to snoring and its frequency after controlling for age and gender. Independent associations of snoring and its frequency with increased IMT and the presence of plaques were analyzed, using multiple logistic regression after adjusting for conventional risk factors. The odds ratios (ORs) are presented with 95% confidence intervals (CIs). A P-value of 0.05 was considered to indicate statistical significance. All statistical analyses were performed using the SPSS 15.0 software package (SPSS Inc., Chicago, IL, USA).
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5

Intraductal Appearance and Malignancy

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Statistical analysis of the compiled data was performed using the SPSS 15.0 Software Package (Statistical Package for Social Sciences; SPSS, Inc., Chicago, IL, US). The results from histopathological testing on the excised milk ducts were used as reference criteria. Findings were categorized as either "malignant" or "benign". The benign group included ductal breast papilloma (DBP), other benignities (fibroid adenoma, ductal ectasia, sclerosing adenosis, typical ductal hyperplasia and others) and atypical ductal hyperplasia (ADH). The malignant category included findings of invasive ductal carcinoma and ductal carcinoma in situ (DCIS). By statistically examining the frequencies of the five classification criteria of the intraductal appearance for each lesion, we tried to identify a possible correlation/association between the said criteria and the malignancy or benignity of the lesion. These correlations were tested for statistical significance using the two-tailed Fisher's exact test, with p<0.05 being regarded as statistically significant (14) .
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6

Expert Consensus on Treatment Options

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Means and 95% confidence intervals (CI) of each question or option were calculated. We divided them into three categories according to the lowest score of 95% CI: first- line/preferred treatment, ≥ 6.5; second-line/reasonable treatment, < 6.5 and ≥ 3.5; and third-line/inappropriate treatment, < 3.5. Treatment of choice (TOC) was defined as an option that was rated at 9 points by 50% or more of the experts.
A chi-square test was used to confirm the presence or absence of consensus on each option/question. No significant difference between categories indicated lack of consensus.
The SPSS 15.0 software package (SPSS Inc., Chicago, IL, USA) was used for the analyses of preference rankings and multiple responses.
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7

Prognostic Significance of LOC554202 in Prostate Cancer

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In the light of the test condition, the T-test or Mann–Whitney U-test was utilized for statistical comparisons in two groups. One-way ANOVA followed by the Newman-Keuls post hoc test was used for multiple comparisons in several groups. The association of LOC554202 expression with disease-free survival (DFS) and the prognosis of prostate cancer was analyzed by Kaplan-Meier and Cox regression analyses. A p value < 0.05 was considered statistically significant. The SPSS 15.0 software package (SPSS Inc., Chicago, IL) was applied for data analysis.
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8

Centralization of Esophageal Surgery

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Raw and coded responses from https://it.survey monkey.com/ were downloaded. Data were verified by the data coordinator and his team before importing them into SPSS software version 15.0 for the analysis. The primary analysis was a descriptive summary, including the calculation of frequencies, median, and interquantile range (IQR), where appropriate. The χ2 test or Fisher's test (expected number less than 5) and the Mann-Whitney test were used to analyze categorical and continuous variables, respectively, for the comparison between respondents in favor or against the centralization of surgery for benign esophageal diseases (item 9). A P-value <0.05 was considered significant. Statistical analyses were performed using the SPSS 15.0 software package (SPSS, Inc., Chicago, IL, USA).
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9

Statistical Analysis of Experimental Data

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Statistical analysis of the data was carried out using the SPSS 15.0 software package (SPSS Inc., Chicago, Illinois, USA) under a Windows XP operating system.
Categorical data parameters were presented in the form of frequency and percentage and analyzed for group differences using the Chi-square test or the Fisher exact test (χ2 value) according to the nature of the data. Continuous data parameters were analyzed for normality using the Shapiro-Wilk test; accordingly, central tendency of the data was presented in the form of mean for normally distributed data or median for a non-parametric distribution. Comparative analysis was carried out using the Mann-Whitney U-test (Z value) for two independent samples, the Wilcoxon signed rank test (Z value) for paired samples, and analysis of variance in association with Fisher's least significant difference for multiple samples. Groups were assumed to differ significantly when the p < 0.05 and highly significant when the p < 0.001. Non-significant difference was assumed if the p ≥ 0.05. Graphic presentation of data was performed using MS Excel 2007 software.
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10

Genetic and Smoking Factors in NSCLC

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For the comparison of mean age and pack-years between cases and controls we used Student's t-test. Multivariate logistic regression was used to calculate odds ratios (OR) between genotypes and NSCLC and 95 % confidence intervals adjusted for age, gender, and smoking status. Gene-smoking interaction adjusted for age was tested on the multiplicative scale by entering product terms in the multivariate logistic models. P values below 0.05 were considered significant. For statistical analysis we used the SPSS 15.0 software package (SPSS Inc., Chicago, IL, USA).
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