Spss statistical software version 27

Manufactured by IBM

Sourced in United States, Japan

SPSS Statistics is a software package used for statistical analysis. Version 27 provides a comprehensive set of tools for data management, analysis, and visualization. The core function of SPSS Statistics is to enable users to perform a wide range of statistical procedures, including descriptive statistics, correlations, t-tests, ANOVA, regression, and more.

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Sas version 9, by SAS Institute (2 mentions) R statistical software version 4, by R Project for Statistical Computing (1 mentions) Prism version 8, by IBM (1 mentions) Sas statistical software version 9, by SAS Institute (1 mentions) Sas statistical software, by SAS Institute (1 mentions) R statistical software, by SAS Institute (1 mentions) R statistical software, by R Project for Statistical Computing (1 mentions) Prism 6, by GraphPad (1 mentions) Prism 8, by GraphPad (1 mentions) R statistical software version 3, by R Project for Statistical Computing (1 mentions)

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Statistical Package for the Social Sciences (SPSS) software version 27.0 SPSS statistical software system, version 27.0 SPSS statistical software for Windows, Version 27 SPSS statistical software package version 27 SPSS 27 statistical software SPSS software version 27 SPSS statistical software (version SPSS version 27 SPSS software 27.0 SPSS statistical software

74 protocols using spss statistical software version 27

Survival Analysis of Femoroacetabular Impingement

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Statistical analysis was performed using SPSS Statistical Software Version 27
(IBM, Armonk, NY, USA). Categorical variables were analyzed using the chi-square
test or Fisher exact test, as appropriate, and continuous variables were
compared using Student t tests. Unadjusted survival analysis
was performed using Kaplan-Meier curves, and comparisons were calculated using
the log-rank test. We performed adjusted survival analysis with Cox proportional
hazard models, adjusting for all variables that were significantly different
between treatment groups at baseline (abrasion chondroplasty, acetabuloplasty,
age, BMI, radiographic FAI) or those presumed to be predictive of conversion to
THA (Tönnis grade and Outerbridge grade). All reported P values
were 2-tailed, with the level of significance set at α = .05.

Kucharik M.P., Abraham P.F., Nazal M.R., Varady N.H., Eberlin C.T., Meek W.M, & Martin S.D. (2022). Arthroscopic Acetabular Labral Repair Versus Labral Debridement: Long-term Survivorship and Functional Outcomes. Orthopaedic Journal of Sports Medicine, 10(7), 23259671221109012.

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Analyzing TMB and DNA Repair Alterations in NSCLC

Cited 2 times

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Baseline characteristics between patients in the TMB-high and TMB-low groups were compared using the χ² test, Fisher exact, or the Wilcoxon test. The association between patient and tumor characteristics and outcomes including LRF and PFS were evaluated using Cox proportional hazard modeling. PD-L1 was evaluated as a categorical variable (≥1% expression or ≥50% expression). PD-L1 expression was tested per institutional standards with immunohistochemistry using the E13N antibody (Cell Signaling Technology), as previously described.^{7 (link)} Immunohistochemistry with PD-L1 E1L3N clone from Cell Signaling was validated against PD-L1 22C3 pharmDx and found to provide highly concordant results for immunohistochemical staining in NSCLC biopsy samples.^{26 (link)}Kaplan-Meier analysis was used to estimate overall survival (OS), PFS, and LRF and to compare LRF and PFS outcomes between patients with TMB-high and TMB-low tumors and patients with and without DDR-altered or KEAP1/NFE2L2-altered tumors. The log-rank test was used to compare LRF and PFS between groups. Differences were described as statistically significant for P ≤ .05, and tests were 2-tailed. All statistical computations were performed using SPSS statistical software version 27 (IBM Corp).

Lebow E.S., Shepherd A., Eichholz J.E., Offin M., Gelblum D.Y., Wu A.J., Simone CB I.I., Schoenfeld A.J., Jones D.R., Rimner A., Chaft J.E., Riaz N., Gomez D.R, & Shaverdian N. (2023). Analysis of Tumor Mutational Burden, Progression-Free Survival, and Local-Regional Control in Patents with Locally Advanced Non–Small Cell Lung Cancer Treated With Chemoradiation and Durvalumab. JAMA Network Open, 6(1), e2249591.

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Multimodal Stroke Intervention Outcomes Analysis

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We summarized the categorical variables as absolute numbers and percentages and continuous variables as means and standard deviation; quantitatively skewed variables were summarized as medians and interquartile range. Categorical variables were compared using the chi-square test, Fisher’s exact test, or Kruskal-Wallis test, whereas continuous variables were compared using the Student’s t-test or Mann-Whitney U test. Multivariable regression models were used to examine the adjusted effects of MT on outcomes. Standard demographic and clinical factors known to influence outcome, including age, sex, admission NIHSS, pre-stroke mRS, hypertension, diabetes mellitus, atrial fibrillation, occlusion site, IVT use, and center, were used as covariates. We performed propensity score matching based on a logistic regression model controlling for the covariates as mentioned above, which matched the patients with most similar regression scores against each other, as implemented in the R package “MatchIt.” Statistical was analyses were performed using the IBM SPSS statistical software version 27 (IBM Co., Armonk, NY, USA), as well as the R statistical software version 4.0.2 (R Foundation for Statistical Computing, Vienna, Austria), with GLM function from the MASS package and “rpart” function from the “rpart” package.

Sykora M., Michel P., Strambo D., Krebs S., Ferrari J., Posekany A., Mikšová D., Hermann K., Gattringer T., Gizewski E., Deutschmann H., Neumann C, & Lang W. (2022). Mechanical Thrombectomy in Acute Stroke Patients with Moderate to Severe Pre-Stroke Disability. Journal of Stroke, 24(3), 396-403.

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Statistical Analysis of Congenital Valve Anomalies

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IBM SPSS statistical software, version 27 was used for data analysis. Categorical variables are reported as absolute numbers and percentages. Continuous variables are expressed as either mean±SD or median and range. Student’s t-tests were performed to compare continuous variables and χ² tests or independent-samples Mann-Whitney U tests for categorical variables. Survival and freedom from events were analysed with the Kaplan-Meier method and log-rank test. Proportional hazards regression model was used for risk factor analysis of reintervention and aortic valve replacement (AVR). Variables with p<0.1 in the univariable analysis were included in a multivariable regression model. Duct dependency and left ventricular function were included as clinically relevant variables in the multivariable model for critical VAS, as was aortic annulus z-score in the multivariable model for non-critical VAS. The association between size of aortic valve and event-free survival in duct-dependent patients was examined in an adjusted logistic regression model. For all tests, p<0.05 was considered statistically significant.

Olofsson C.K., Hanseus K., Ramgren J.J., Synnergren M.J, & Sunnegårdh J. (2023). Outcomes in neonatal critical and non-critical aortic stenosis: a retrospective cohort study. Archives of Disease in Childhood, 108(5), 398-404.

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Factors Associated with Psychological Distress

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Statistical analysis was performed using IBM SPSS statistical software version 27 (IBM Corp., Armonk, NY). Multivariate linear regression analysis was used to determine which factors were independently associated with each outcome measurement of psychological distress. Variables that were associated (p < 0.10) with each psychological distress scale using univariate linear regression analysis were incorporated into the multivariate linear regression analysis. A two-sided p-value of 0.05 was considered to be significant in the multivariate linear regression analysis.

Kuroda N., Kubota T., Horinouchi T., Ikegaya N., Kitazawa Y., Kodama S., Matsubara T., Nagino N., Neshige S., Soga T., Sone D., Takayama Y, & Kuramochi I. (2021). Risk factors for psychological distress in electroencephalography technicians during the COVID-19 pandemic: A national-level cross-sectional survey in Japan. Epilepsy & Behavior, 125, 108361.

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Analyzing CRC Progression via ENT2 Expression

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All data were statistically analyzed using IBM SPSS Statistical Software version 27 (IBM Corp.). The results are expressed as the mean ± SD obtained from three independent experiments where each assay was performed in triplicate. The significant differences between multiple groups were assessed by one-way analysis of variance (ANOVA) followed by Tukey's post hoc multiple comparisons tests. Statistical evaluation of ENT2 gene expression was performed using CFX96 software followed by one-way ANOVA with Tukey's multiple comparisons tests. The correlations between ENT2 expression and the different stages of CRC were determined by Spearman's correlation test. P<0.05 was considered to indicate a statistically significant difference.

Naes S.M., Ab-Rahim S., Mazlan M., Amir Hashim N.A, & Abdul Rahman A. (2023). Increased ENT2 expression and its association with altered purine metabolism in cell lines derived from different stages of colorectal cancer. Experimental and Therapeutic Medicine, 25(5), 212.

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Palliative care needs and well-being assessment

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Descriptive statistics were used to describe the characteristics of the study population and their symptoms, concerns, and well-being. We calculated frequencies and percentages for the categorical variables, and means and standard deviations for the continuous data. We calculated Spearman correlations between palliative care needs (IPOS total scores) and well-being (ICECAP-SCM total score and IPOS VoC quality of life item score) and between the two well-being measures (IPOS VoC quality of life item score and ICECAP-SCM total score). We considered a Spearman’s r between 0 and 0.19 as very weak, between 0.2 and 0.39 as weak, between 0.40 and 0.59 as moderate, between 0.6 and 0.79 as strong and above 0.8 as very strong [29 ]. All analyses were performed with IBM SPSS statistical software version 27. We considered p-values lower than 0.05 as statistically significant.

de Nooijer K., Van Den Noortgate N., Pype P., Van den Block L, & Pivodic L. (2022). Palliative care symptoms, concerns and well-being of older people with frailty and complex care needs upon hospital discharge: a cross-sectional study. BMC Palliative Care, 21, 173.

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Statistical Analysis of Demographic and Laboratory Data

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All demographic and laboratory data collected were entered into a Microsoft Excel spreadsheet and verified. The questionnaire and laboratory data were linked by a unique identification code. SPSS statistical software version 27 (IBM Corp., Armonk, N.Y., United States) was used for analysis. Frequencies and cross-tabulation were used to summarize descriptive statistics. Bivariate and multivariable logistic regression analysis were applied to determine the significance among categorical variables. A p-value less than 0.05 was considered statistically significant.

Ayalew S., Habtamu G., Melese F., Tessema B., Ashford R.T., Chothe S.K., Aseffa A., Wood J.L., Berg S, & Mihret A. (2023). Zoonotic tuberculosis in a high bovine tuberculosis burden area of Ethiopia. Frontiers in Public Health, 11, 1204525.

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Accelerated Approval Regulatory Process

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This quality improvement study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines. This study was exempt from institutional research ethics board review because no patient data were involved, in accordance with 45 CFR §46.
The FDA public electronic database was searched for the combination of AA and malignant hematology or oncology indications from January 2000 to December 2019.^{3 (link)} HC databases were searched to identify whether a parallel application was submitted with relevant dates collected. HTAs by pCODR were reviewed from July 2011 (inception of the formalized national process) to December 2019 with relevant dates collected. Outcomes included the median (interquartile range [IQR]) time for each step from AA to Canadian funding and submission or approval rates in Canada. Data analysis was performed in February 2021 using SPSS statistical software version 27 (IBM).

Ho C., Lim H.J, & Regier D.A. (2021). Canadian Regulatory and Health Technology Assessment for Malignant Hematology and Oncology Indications Compared With the US Food and Drug Administration Accelerated Approval Program. JAMA Network Open, 4(8), e2120301.

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Comparative Analysis of Statistical Methods

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Data are expressed as mean with standard deviation (SD) or median with minimum to maximum and interquartile range (IQR). Statistical differences in the quantitative variables between groups were determined using either Student’s t-test, the Mann–Whitney U test, or Kruskal–Wallis test. The chi-squared test was used for categorical variables. The log-rank test was used to analyze survival data. The level of significance was set to p < 0.05. All statistical analyses were conducted using the SPSS statistical software version 27 (IBM, Chicago, IL, USA).

Kanzaki H., Chiba T., Kaneko T., Ao J., Kan M., Muroyama R., Nakamoto S., Kanda T., Maruyama H., Kato J., Zen Y., Kotani A., Sekiba K., Otsuka M., Ohtsuka M, & Kato N. (2022). The RNA-Binding Protein ELAVL1 Regulates Hepatitis B Virus Replication and Growth of Hepatocellular Carcinoma Cells. International Journal of Molecular Sciences, 23(14), 7878.

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