The largest database of trusted experimental protocols

Spss 17.0 statistical software

Manufactured by IBM
Sourced in United States, United Kingdom

SPSS 17.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, visualization, and modeling. The software's core function is to enable users to perform a wide range of statistical analyses, including descriptive statistics, regression analysis, hypothesis testing, and more. SPSS 17.0 is designed to handle both small and large datasets, making it a versatile tool for researchers, statisticians, and data analysts across various industries.

Automatically generated - may contain errors

579 protocols using spss 17.0 statistical software

1

Prognostic Significance of Syncytin-1 in NSCLC

Check if the same lab product or an alternative is used in the 5 most similar protocols
The syncytin-1 staining positivity of NSCLC carcinoma and para-carcinoma were compared with Student’s t-test using the SPSS 17.0 statistical software, and P<0.05 was considered statistically significant. Survival curve was constructed with the Kaplan-Meier method and intro-curve comparison was performed with the Log rank test. Prognosis was evaluated by Cox ratio risk recurrence model. The 5ʹ-LTR methylation of HERVW promoter was analyzed by mass spectroscopy and EpiTYPER software. The average methylation ratio and standard deviation was calculated with the SPSS 17.0 statistical software, and compared with non-parametric rank sum test and Mann–Whitney U-test. P<0.05 was considered statistically significant.
+ Open protocol
+ Expand
2

Quantitative Analysis of Protein Expression

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data are presented as the means ± SEs of three or ten independent experimental replicates. Statistical analyses were performed using Excel 2016 software (Microsoft, Redmond, WA, USA). Significant differences were evaluated using Duncan’s test at the 1% level (p < 0.01) via SPSS 17.0 statistical software (IBM, New York, NY, USA). Histograms were generated using Origin 2018 software (OriginLab, Northampton, MA, USA).
+ Open protocol
+ Expand
3

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
SPSS 17.0 statistical software (IBM Corp.) was used for the analysis of the experimental data. Enumeration data were expressed as n (%), and Chi-square test was used for comparisons between two groups. Measurement data were expressed as mean ± SD, and t-test was used to analyze data between two groups. One-way ANOVA and Dunnett's post hoc test were used for comparisons among multiple time points. The mean values before surgery were used as the control for the comparisons of the data of the different time points within the group. P<0.05 was considered to indicate a statistically significant difference.
+ Open protocol
+ Expand
4

Statistical Analysis of Biological Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were expressed as the mean ± standard deviation. Comparisons of the data between two groups were performed using the two-tailed unpaired Student's t test, while one-way analysis of variance and Student-Newman-Keuls-q tests were used for multiple comparisons. For non-normally distributed data, we used Man-Whitney tests to examine the differences between two groups. Paired data comparisons were made using the paired Student's t test. Spearman rank correlation was used to measure the possible relationship. Analysis was completed using SPSS17.0 statistical software (IBM Corp., Armonk, NY, USA), and P < 0.05 was considered to indicate statistical significance.
+ Open protocol
+ Expand
5

Allogeneic HSCT Outcomes Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Only patients with successful ANC engraftment were evaluated for aGVHD and cGVHD was evaluated only in patients with a minimum follow-up of 100 days. The CI of relapse was calculated from the date of allo-HSCT or the date of getting CR after transplantation until relapse. Nonrelapse mortality (NRM) was defined as death without evidence of disease relapse. GvHD-free, relapse-free survival (GRFS) events were defined according to the original report as the first event among grades III and IV aGvHD, severe cGvHD, relapse, and death [26 (link)]. All statistical tests were two-sided and P value < 0.05 was considered significant. The statistical analyses were performed using IBM SPSS 17.0 statistical software (IBM, North Harbour, Portsmouth, UK).
+ Open protocol
+ Expand
6

Statistical Analysis of Research Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
SPSS 17.0 statistical software (IBM Corporation, Armonk, NY, USA) was used to analyze the data. The data were presented as the mean ± deviation. Student’s t-test was used to determine differences between two groups, while one-way analysis of variation (ANOVA) followed by NewmanKeuls analysis was applied to verify differences among three or four groups. A P value <0.05 was considered to be statistically significant.
+ Open protocol
+ Expand
7

Statistical Analysis of Repeated Measurements

Check if the same lab product or an alternative is used in the 5 most similar protocols
SPSS 17.0 statistical software (IBM, Armonk, NY, USA) was used for data analysis. Numerical data are presented as mean ± standard deviation (mean ± SD). Repeated measures analysis of variance (ANOVA) was used to analyze the repeated measurements of data. The independent-samples t-test was used for comparisons between groups. The paired t-test was used for comparisons within groups. Categorical data were analyzed by χ2 test. P<0.05 was considered to indicate a statistically significant difference.
+ Open protocol
+ Expand
8

Survival Analysis of Prognostic Factors

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were presented as mean ± standard error of mean unless otherwise indicated. Differences in the continuous quantitative variables of demographics, operative data were analyzed using analysis of variance. Kaplan–Meier estimates of survival were plotted, and survival differences were analyzed using the log-rank test. Univariate and multivariate analyses were used to explore the effects of several prognostic factors by the cox regression proportional hazards model. Differences with two-sided P value <0.05 was considered statistically significant. Statistical analyses were performed using IBM SPSS17.0 statistical software.
+ Open protocol
+ Expand
9

Prognostic Value of WHO 2010 and AJCC 7th Grading for pNETs

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were presented as mean ± standard error of mean or median for quantitative variables, or as numbers and their frequencies as proportions (%) for categorical variables unless otherwise indicated, which were then compared by Student t tests, analysis of variance or χ2 tests according to variable distribution wherever possible. We performed analyses of survival with Kaplan-Meier curves and comparisons among factors using log-rank test. Univariate and multivariate analyses were finally applied to assess the prognostic value of the new WHO 2010 grading classifications and the AJCC seventh staging manual for p-NETs by Cox regression proportional hazards model. Statistics was considered significant when P value of two sides was below 0.05. Statistical analyses were performed by IBM SPSS 17.0 statistical software.
+ Open protocol
+ Expand
10

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The SPSS17.0 statistical software (IBM, Armonk, NY, USA) was used, and the data are expressed as mean ± standard deviation (SD). One-way ANOVA was used for multiple comparisons followed by pairwise comparison with the least significant difference (LSD) method. A P value <0.05 indicates that the difference is statistically significant.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!