Spss v 22 for mac

Manufactured by IBM

Sourced in United States

SPSS v.22 for Mac is a statistical software package developed by IBM. It is designed to analyze and manage data, perform advanced statistical analyses, and generate reports. The software provides a wide range of analytical tools and functions, including descriptive statistics, inferential statistics, and predictive modeling.

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Compusyn v 1, by ComboSyn (1 mentions)

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SPSS Statistics v.22.0 software for Mac SPSS Statistics V.22.0 for mac SPSS 22 for Mac SPSS for Mac SPSS 22.0 SPSS vs. SPSSTM

4 protocols using spss v 22 for mac

Survival Analysis of Anterior ETT Restorations

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The data were statistically analyzed using SPSS v.22 for Mac (SPSS Inc., Chicago, IL, USA) and STATA v.17 for Mac (Stata Corp., College Station, TX, USA) with a significance level of p-value <0.05. Descriptive statistics were used to describe the data distribution. Fisher's exact test was used to compare the data distribution between the resin composite and crown groups. The survival rate against fracture of the anterior ETT with resin composite and crown restorations were compared using Kaplan-Meier survival analysis and the Tarone-Ware test.
When analysing the possible prognostic factors, the hazard ratios were non-proportional. Hence, a multivariable, non-proportional hazard model was used in a full model and a predictive model to explain and predict any prognostic factors with a p-value of <0.05 in the Tarone-Ware test.
For the subgroup analysis in the resin composite group and the crown group, the Kaplan-Meier survival analysis and the Tarone-Ware test were used to analyze the survival rates and possible prognostic factors.

Intaraprasong N., Banomyong D., Chotvorrarak K., Ngoenwiwatkul Y, & Pittayachawan P. (2023). Influence of Different Post-endodontic Restorations on the Survival Rate Against Fracture of Endodontically Treated Anterior Teeth Affected by Cervical Lesions with Pulpal Involvement: A Retrospective Clinical Study. European Endodontic Journal, 9(1), 44-56.

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Statistical Analysis of Experimental Mice

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Statistical analysis was carried out with SPSS v.22 for Mac (SPSS, United States). Data were presented as mean ± SD. Groups were compared with variance tests (comparisons between untreated and treated mice). Differences were considered statistically significant with a P-value < 0.05.

Su J.J., Xu K., Wang P.F., Zhang H.Y, & Chen Y.L. (2018). Histological analysis of human pancreatic carcinoma following irreversible electroporation in a nude mouse model. World Journal of Gastrointestinal Oncology, 10(12), 476-486.

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Survival Analysis of Breast Cancer Cells

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Kaplan–Meier survival analyses were undertaken using SPSS v.22 for Mac (IBM Corp., Armonk, New York, NY, USA). IHC scores were coded as low (≤the median value) or high (>the median value). Mice with MDA-MB-468 tumors below the ethical endpoint of 1,000 mm³ at day 82 after cell implantation were regarded as survivors. For HCC1806 tumors, all mice had reached the ethical endpoint before 12 weeks (i.e., there were no survivors). Linear and non-linear (exponential) correlations between IHC scores were fitted using Deltagraph v.7 (Red Rock Software, Salt Lake City, UT, USA) with P values calculated by SPSS.

Julovi S.M., Martin J.L, & Baxter R.C. (2018). Nuclear Insulin-Like Growth Factor Binding Protein-3 As a Biomarker in Triple-Negative Breast Cancer Xenograft Tumors: Effect of Targeted Therapy and Comparison With Chemotherapy. Frontiers in Endocrinology, 9, 120.

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Combination Drug Synergy Analysis

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CompuSyn v1.0 software (ComboSyn Inc., Paramus, NJ, USA) was used to calculate the Chou-Talalay Combination Index (CI), where CI < 1indicates synergism and CI > 1 indicates antagonism [25 (link)]. All other statistical analyses were performed using SPSS v.22 for Mac (IBM Corp, Armonk, NY, USA). Effects of drug treatment on tumor IHC staining scores were calculated using 1-factor ANOVA followed by Tukey’s post hoc test. Pearson’s correlations among IHC staining scores are reported with two-tailed P values.

Martin J.L., Julovi S.M., Lin M.Z., de Silva H.C., Boyle F.M, & Baxter R.C. (2017). Inhibition of basal-like breast cancer growth by FTY720 in combination with epidermal growth factor receptor kinase blockade. Breast Cancer Research : BCR, 19, 90.

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