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Spss software for windows version 13

Manufactured by IBM
Sourced in United States

SPSS software for Windows, version 13.0, is a data analysis and statistical software package. It provides a set of tools and functions for the analysis and management of data. The software is designed to work on the Windows operating system.

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49 protocols using spss software for windows version 13

1

MDD Treatment Response Evaluation

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All data analysis was performed by using SPSS for Windows software, version 13.0 (SPSS Inc. Chicago, IL, USA) and two-tailed significance level was set at 0.05. Independent sample t-test was used to compare demographic data between the MDD and healthy control groups at pre-treatment condition. To assess treatment response, Hamilton Depression Scale and 1H-MRS measures were compared between pre-treatment and post-treatment of patients by paired t tests. Data was presented as means and standard deviations.
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2

Survival Analysis of Novel Treatment

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Data are presented as mean ± SD; differences between two groups were determined by two tailed Student’s t test using Microsoft Excel spreadsheet software (Microsoft Corp., Redmond, WA). Kaplan-Meier survival analysis (log-rank) was utilized for mortality analysis using SPSS for Windows software, version 13.0 (SPSS Inc., Chicago, IL). A value of p<0.05 was considered to be statistically significant.
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3

Evaluating Statistical Methods in Research

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Data are expressed as mean ± standard deviation. Differences were assessed using two-tailed student's t-test and one-way analysis of variance. Statistical significance was considered as P<0.05. Analyses were performed using SPSS for Windows software, version 13.0 (SPSS, Inc., Chicago, IL, USA).
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4

Duodenal Ulcer Healing and Anti-Bacterial Activity

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All values are expressed as mean ± standard error mean (SEM). Between-group comparisons in characteristics of tested waters, duodenal ulcer area, apoptotic number, protein expression and anti-bacterial activity were performed using unpaired t-tests or analysis of variance with Bonferroni method as post hoc analysis. Within-group comparisons in characteristics of tested waters, duodenal ulcer area, apoptotic number, protein expression and anti-bacterial activity were performed using paired t-tests or repeated-measures analysis of variance with Bonferroni method as post hoc analysis. P-values of <0.05 were considered to be statistically significant. All calculations were performed using SPSS for WINDOWS software (version 13.0; SPSS Inc, Chicago, IL). All microarray data were normalized by quantile normalization. The statistics significance from microarray data was filtered with a 2-fold changed selection criterion from the corresponding genes.
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5

Neuromodulation of Enteric Neurons

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Data are reported as mean values ± SE. All data were analyzed by means of the MannÀWhitney U test and 2-way analysis of variance, followed by Bonferroni post-hoc test or Dunn post-test (for experiments with primary enteric neurons), as appropriate. All statistical analyses were performed using SPSS for Windows software, version 13.0 (SPSS Inc, Chicago, IL). Two-tailed P values < .05 were considered significant.
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6

Clinicopathologic Correlates and Survival Outcomes

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Correlations between protein expression levels and patient clinicopathologic characteristics were performed using Pearson χ 2 test. The Kaplan-Meier method was used to estimate DMFS and OS rates, and the survival differences were tested by log-rank method. The Cox proportional hazard model was used for multivariate analysis to investigate the independence of the risk factors identified as significant in the univariate analysis. Hazard ratios (HR) and 95% confidence interval (CI) >1.0 indicate that positive expression is associated with a poor prognosis while <1.0 indicate that positive expression is associated with a good prognosis. Survival analysis stratified by TNM classification and lymph node metastasis status were also conducted. All statistical analyses were 2-sided, and comparisons made in which p values less than 0.05 were considered statistically significant. All statistical analyses were performed using SPSS for Windows Software (version 13.0).
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7

Amino Acid and Acylcarnitine Analysis

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All data were analysed with SPSS for Windows software version 13.0 (release 13.0, Chicago, IL, USA). Normality testing was undertaken for all indices. Quantitative data were described as median and the 0.5th percentile-99.5th percentile. Comparisons were done with descriptive statistical method (percentages) for the amino acid and acylcarnitine concentrations among the groups. False positive rate (FPR), positive predictive value (PPV), corrected FPR and PPV by various birth weights were calculated. The Chi-square test was used to compare the positive rates among different groups. P values less than 0.05 were considered statistically significant.
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8

Factors Influencing Research Success

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Logistic regression was used as a method of determining the factors that influence success. The accepted risk was 5%. The analysis was made using SPSS for Windows software version 13.
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9

Anthropometric Indicators in Urban and Rural Communities

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WHO Anthro 2007 was used to generate z-score values for weight-for-age, height-for-age and weight-for-height. All data were entered into and analysed using SPSS for windows software version 13. The means and standard deviations (SD) were calculated for continuous variables, while ratios and proportions were calculated for categorical variables. Independent t-test was used to calculate mean differences for continuous variables between urban and rural communities. Categorical variables were compared using the Pearson Chi square (χ2) test. ‘P’ values less than 0.05 were accepted as statistically significant.
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10

Survival Analysis of Clinical Outcomes

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Clinical records were compared with either Fischer’s exact test or Pearson’s χ2 test, as appropriate. The patient survival rate was calculated using the Kaplan-Meier curve, and univariate analysis was conducted using the log-rank test. Factors that were deemed of potential importance to the univariate analysis (P < 0.05) were included in the multivariate analysis using the Cox regression model. P < 0.05 was considered significant. Statistical analyses were performed with SPSS software for Windows, version 13 (SPSS, Inc., Chicago, IL, USA).
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