Statistic package for social sciences 23.0 statistical software

Manufactured by IBM

Sourced in United States

SPSS Statistics 23.0 is a software package for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is designed to handle a wide range of data types and can be used for a variety of statistical techniques, including regression analysis, factor analysis, and time series analysis.

Automatically generated - may contain errors

Lab products found in correlation

Spelling variants of this product

Statistics 23.0 (34 citations) Statistical software package (5 citations)

2 protocols using statistic package for social sciences 23.0 statistical software

Statistical Analysis of Morphological Parameters

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

Statistical analysis was performed using the Statistic Package for Social Sciences 23.0 statistical software (SPSS, Chicago, IL, USA). Correlations of ‘raw’ morphological parameters with each other were calculated with Spearman's rank order correlation. Associations of grouped morphological characteristics with clinicopathological parameters were calculated with χ² (chi square) test as well as χ² test for trends and Fisher's exact test. Survival probabilities were plotted with the Kaplan–Meier method, a log‐rank test was used to probe for the significance of differences in survival probabilities. Multivariate survival analysis was performed with the Cox proportional hazard model. P values ≤0.05 were considered significant. Analysis of interobserver variance was performed using the Cohens–Kappa algorithm. As only planned hypothesis testing was performed, no corrections for multiple testing were necessary in this study 22.

Jesinghaus M., Strehl J., Boxberg M., Brühl F., Wenzel A., Konukiewitz B., Schlitter A.M., Steiger K., Warth A., Schnelzer A., Kiechle M., Beckmann M.W., Noske A., Hartmann A., Mehlhorn G., Koch M.C, & Weichert W. (2018). Introducing a novel highly prognostic grading scheme based on tumour budding and cell nest size for squamous cell carcinoma of the uterine cervix. The Journal of Pathology: Clinical Research, 4(2), 93-102.

+ Open protocol

+ Expand

Genetic Data and Clinicopathological Correlations

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

Statistical analyses were performed using the Statistic Package for Social Sciences 23.0 statistical software (SPSS, Chicago, USA). Correlation analyses between genetic data and clinicopathological parameters were performed using Fisher's exact test. A P-value o 0.05 was considered as significant.
The study has been approved by the local ethics committee of the Technical University of Munich (reference number: 503/16s).

Jesinghaus M., Konukiewitz B., Foersch S., Stenzinger A., Steiger K., Muckenhuber A., Groß C., Mollenhauer M., Roth W., Detlefsen S., Weichert W., Klöppel G., Pfarr N, & Schlitter A.M. (2018). Appendiceal goblet cell carcinoids and adenocarcinomas ex-goblet cell carcinoid are genetically distinct from primary colorectal-type adenocarcinoma of the appendix. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 31(5).

+ 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!