Statistical package for the social sciences spss for windows version 19

Manufactured by IBM

Sourced in United States

SPSS for Windows, version 19.0, is a statistical software package designed for data analysis. It provides a comprehensive set of tools for managing, analyzing, and presenting data. The core function of SPSS is to enable users to perform a wide range of statistical analyses, including descriptive statistics, hypothesis testing, regression analysis, and more.

Automatically generated - may contain errors

Lab products found in correlation

Close spelling variants of this product

SPSS for Windows, version 19.0 SPSS 19 for Windows SPSS statistical version 19.0 SPSS Statistical for Windows SPSS for Windows (version SPSS Statistical 19.0 Windows SPSS package SPSS statistical package SPSS version 19.0 SPSS for Window

3 protocols using statistical package for the social sciences spss for windows version 19

Survival Analysis of Major Limb Amputations

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

Kaplan-Meier method was used to estimate the survival probability for differing survival times (time to event). Each variable was entered into a multivariate Cox regression model to identify the independent risk factors associated with mortality. Differences in survival and clinical data were calculated between the minor and major LEA groups using the Kaplan-Meier method and log rank test for survival, the Student’s t test for continuous variables, and Pearson’s chi-square test for categorical variables. In addition, multivariate logistic regression analysis was performed including age, smoking status, hypertension, MACEs, renal function and PAD to identify the independent risk factors predicting the outcomes of the patients with major LEAs.
All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS for Windows, version 19.0, IBM Corp., Armonk, NY). Statistical significance was defined as a P value <0.05.

Huang Y.Y., Lin C.W., Yang H.M., Hung S.Y, & Chen I.W. (2018). Survival and associated risk factors in patients with diabetes and amputations caused by infectious foot gangrene. Journal of Foot and Ankle Research, 11, 1.

+ Open protocol

+ Expand

Risk Factors for Adverse Outcomes in Diabetic Foot Infections

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

Age, duration of diabetes, wound extent size, and HbA1c level were used as continuous variables, and gender, smoking status, comorbidities, and PEDIS score (except extent size) were used as categorical variables. Comparisons between patients with or without SIRS were performed using the Mann–Whiney test for continuous variables and Pearson’s chi-square test for categorical variables. Each factor odds ratio to the presence of SIRS was calculated via adjusted model of logistic regression. The same statistical method was used in comparing the two groups with different treatment outcome of the total DFI patients with SIRS. The significant risk factors in the univariate analysis found above were then entered into a multivariate logistic regression model to identify independent risk factors to adverse outcome among these patients. All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS for Windows, version 19.0, IBM Corp., Armonk, NY, USA) data analysis software.

Lin C.W., Hung S.Y., Huang C.H., Yeh J.T, & Huang Y.Y. (2019). Diabetic Foot Infection Presenting Systemic Inflammatory Response Syndrome: A Unique Disorder of Systemic Reaction from Infection of the Most Distal Body. Journal of Clinical Medicine, 8(10), 1538.

+ Open protocol

+ Expand

Comparative Analysis of Vein Treatment Outcomes

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

Numerical variables were expressed as mean and standard deviation, or median and interquartile range, and minimum and maximum values. Categorical variables were described as absolute and relative frequencies. Both groups were compared in relation to demographic data, comorbidities and outcomes using Fisher's exact test or χ² test for categorical variables, and the Student's t-test or Mann-Whitney's test for numerical variables.
Models of generalized estimating equations were adjusted considering the relation between the two evaluations performed in the same patient, and the results were presented by estimated means and a 95% confidence interval. The models were adjusted by the Poisson distribution in the case of the R-VCSS, and by normal distribution for the quality of life score. For the CEAP classification, the adjustment was performed with multinomial distribution, and binomial distribution was used for the recanalization of treated saphenous vein in all patients analyzed.
The analyses were conducted using the IBM Statistical Package for the Social Sciences (SPSS) for Windows, version 19.0 (IBM Corp., Armonk, NY, USA), and significance level was set at 0.05.

Sincos I.R., Baptista A.P., Coelho F N.e.t.o., Labropoulos N., Alledi L.B., de Marins E.M., Puggina J., Belczak S.Q., Cardoso M.G, & Aun R. (2019). Prospective randomized trial comparing radiofrequency ablation and complete saphenous vein stripping in patients with mild to moderate chronic venous disease with a 3-year follow-up. Einstein, 17(2), eAO4526.

+ 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!