Spss statistical software version 25.0 package

Manufactured by IBM

Sourced in United States

SPSS Statistics is a software package used for interactive, or batched, statistical analysis. It is widely used in the social sciences and other fields for data management, analysis, and presentation of results. SPSS Statistics version 25.0 provides a comprehensive set of tools for data analysis, including descriptive statistics, bivariate analysis, and complex modeling and prediction techniques.

Automatically generated - may contain errors

Lab products found in correlation

R software version 3, by IBM (1 mentions)

Close spelling variants of this product

SPSS version 25.0 statistical package SPSS statistical software package version 25.0 SPSS 25.0 statistical software package SPSS version 25.0 statistical software SPSS statistical package version 25.0 SPSS 25.0 statistical package SPSS version 25.0 statistical SPSS software package version 25.0 SPSS statistical software version 25.0 SPSS 25.0 software package

2 protocols using spss statistical software version 25.0 package

Survival Analysis of Tumor Subtypes

Check if the same lab product or an alternative is used in the 5 most similar protocols

Pearson Chi-square tests were used to compare the histopathological characteristics of the tumors and clinical features of the patients among the different subgroups. The Kaplan-Meier methods were used to perform the survival analysis. All tests were two-sided, and a P-value less than 0.05 was considered statistically significant. All statistical analyses were performed using SPSS statistical software version 25.0 package (IBM Corporation, Armonk, NY, USA).

Han B.Y., Li X.G., Zhao H.Y., Hu X, & Ling H. (2020). Clinical features and survival of pregnancy-associated breast cancer: a retrospective study of 203 cases in China. BMC Cancer, 20, 244.

+ Open protocol

+ Expand

Comparative Analysis of PD Prognosis

Check if the same lab product or an alternative is used in the 5 most similar protocols

T tests were used to compare age between the PD group and the non-PD group. Pearson chi-square tests were used to compare other clinicopathological variables. OS, BCSS and DFS were compared between the two groups using the Kaplan–Meier method. Univariate and multivariate Cox regression analyses were performed to identify prognostic factors.19 (link) A propensity score matching model was used to conduct the matched study.19 (link) All tests were two-sided, and a P-value of less than 0.05 was considered statistically significant. SPSS statistical software version 25.0 package (IBM Corporation, Armonk, NY, USA) and R software version 3.5.3. (The R Project for Statistical Computing,

https://www.r-project.org/

) were used for the calculations and analyses. The R packages “MatchIt”, “survminer”, “readr”, and “survival” with the appropriate libraries were used.

Han B.Y., Xu X.L., Zhu X.Z., Han X.C., Hu X, & Ling H. (2022). Clinicopathological Characteristics and Survival Outcomes of Mammary Paget’s Disease: A Retrospective Study Based on a Chinese Population. Cancer Management and Research, 14, 237-247.

+ 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?

Revolutionizing how scientists
search and build protocols!