Spss release 17

Manufactured by IBM

Sourced in United States

SPSS release 17.0 is a software application for statistical analysis. It provides tools for data management, analysis, and presentation. The core function of SPSS 17.0 is to enable users to perform a wide range of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.

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Lab products found in correlation

Sas stat software version 9, by SAS Institute (2 mentions)

4 protocols using spss release 17

Analyzing Wing Morph and Wolbachia Infection

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The chi‐square independence test in SPSS (Release 17.0) was used to examine whether there is a relationship between wing morph and Wolbachia infection. For statistical analysis, the three USA individuals were excluded owing to uncertainty with respect to their wing morphology.

Noh P., Oh S., Park S., Kwon T., Kim Y., Choe J.C, & Jeong G. (2020). Association between host wing morphology polymorphism and Wolbachia infection in Vollenhovia emeryi (Hymenoptera: Myrmicinae). Ecology and Evolution, 10(16), 8827-8837.

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Tumor Perfusion Analysis Protocol

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Statistical analysis was performed using commercially available software (SPSS, release 17.0; SPSS Inc., Chicago, IL, USA). Perfusion parameters were normally distributed and the data were summarized with median and range from 25th to 75th percentile of interquartile range, and the square root transform of perfusion parameters was used. Paired t-test was used for comparing differences between the measurements in five groups. Spearman’s rank correlation (nonparametric) coefficients were calculated to represent the relationships between the perfusion parameters and MVD of the tumor. One-way analysis of variance followed by Least significant difference test (LSD) method of multiple comparisons were used to calculate perfusion parameters variability among the five groups; P-values <0.05 were considered to indicate a statistically significant difference.

Ma E., Ren A., Gao B., Yang M., Zhao Q., Wang W, & Li K. (2016). ROI for outlining an entire tumor is a reliable approach for quantification of lung cancer tumor vascular parameters using CT perfusion. OncoTargets and therapy, 9, 2377-2384.

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Acculturation's Impact on Patient-Provider Relationship

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All data were analyzed using SPSS release 17.0 (SPSS Inc., Chicago) and SAS/STAT software version 9.4 (SAS Institute Inc., Cary, NC, USA.). All derived multi-item measures were tested for reliability using Cronbach’s alpha. We first describe the sociodemographic and health characteristics of the patient sample. A linear regression model using full information maximum likelihood (FIML) was created to examine the effect of acculturation on the association between components of the interpersonal quality of the provider-patient relationship and overall patient ratings of quality of care. Interactions of acculturation were made with each interpersonal component of the provider-patient relationship to test whether quality of care was moderated by acculturation. To allow for ease of interpretation and to help account for the small sample size, acculturation was dichotomized into low acculturation (score of ≤2) and high acculturation (scores of ≥3).

Cervantes-Ortega M., Du S., Biegler K.A., Al-Majid S., Davis K.C., Chen Y., Kobsa A., Mukamel D.B, & Sorkin D.H. (2020). Participatory decision-making for cancer care in a high-risk sample of low income Mexican-American breast cancer survivors: The role of acculturation. International journal of healthcare, 6(2), 35-43.

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Predictors of Aspergillus Infection in Cancer

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Statistical calculations were performed using SPSS release 17.0 (SPSS Inc., Chicago, IL, USA). Continuous data were tested for normality using the Shapiro-Wilk test and expressed as mean ± SD (if the distribution was normal) or medians with interquartile ranges (in the presence of skewed variables). Multivariate logistic regression analysis was used to identify the independent predictors of having a positive Aspergillus fumigatus sputum culture (dependent variable). The potential covariates (predictors) involved in the multivariate model included: male sex, age, diabetes mellitus, COPD, histology, tumour stage, tumour localisation, surgical treatment, pleural effusion, hospital-acquired pneumonia, chemotherapy dose modifications after the diagnosis of pneumonia, respiratory failure, febrile neutropaenia, and development of pneumonia within the first 10 days of chemotherapy initiation. The results of this analysis were expressed as adjusted odds ratios (ORs) with 95% confidence intervals (CIs). A value of p < 0.05 (two-sided) was considered statistically significant.

Avcı N., Hartavi M., Kaçan T., Bayındır M., Avcı M., Özakın C., Engin A., Deliqönüll A., Evrensel T, & Akalın H. (2016). Retrospective analysis of the microbiological spectrum of pneumonia in Turkish patients with lung cancer. Contemporary Oncology, 20(1), 63-66.

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