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Spss software version 9

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SPSS software, version 9.0, is a comprehensive statistical analysis tool used for data management, analysis, and reporting. It provides a wide range of statistical procedures and algorithms to help users analyze and interpret data effectively. The software is designed to be user-friendly and offers a graphical user interface for easy navigation and data manipulation.

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SPSS version (3082 citations) SPSS software (version (809 citations) SPSS version 9.0 (41 citations) SPSS 9.0 (23 citations) SPSSTM (8 citations) SPSS statistics software, version 9 (7 citations) SPSS softwares (4 citations) SPSS Statistical Software for Windows, version 9 (3 citations)

7 protocols using spss software version 9

1

Ethical Biostatistical Analysis Protocol

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Grouped statistics was analyzed using parametric paired t-test and nonparametric (Mann-Whitney test) wherever appropriate. Statistical analysis was done using the SPSS software version 9.0 (SPSS Inc., Chicago, IL, USA). Statistical significance was assumed when P < 0.05.
All the study methods adhered to the tenets of the Declaration of Helsinki 1968 guidelines.
Ethical committee clearance was obtained for the project.
Rishi E., Rishi P., Sharma V., Koundanya V, & Athanikar R. (2016). Long-term outcomes of combination photodynamic therapy with ranibizumab or bevacizumab for treatment of wet age-related macular degeneration. Oman Journal of Ophthalmology, 9(2), 87-92.
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2

Comparison of Analgesic Efficacy

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All data are expressed as the mean ± standard deviation. Statistical analyses were performed with SPSS software, version 9.0 (SPSS Inc., Chicago, IL, USA). Analysis of variance with Fisher’s protected least significant difference post hoc analysis and Student’s test was used to identify significant differences between the groups. P<0.05 was considered to indicate a statistically significant difference.
WU Y., WANG Y., LI M., YANG X., GONG J, & ZHANG W. (2014). Gadolinium chloride suppresses acute rejection and induces tolerance following rat liver transplantation by inhibiting Kupffer-cell activation. Experimental and Therapeutic Medicine, 8(6), 1777-1782.
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3

Comparative Statistical Analysis of Datasets

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Data were expressed as mean ± standard deviation (SD), and statistical analysis was performed using ANOVA with Tukey’s post hoc test (SPSS software version 9.0; Chicago, IL, USA) [29 (link),30 (link)]. p < 0.05 was considered a statistically significant difference.
Kwon M, & Jung H.J. (2023). Hovenia dulcis Suppresses the Growth of Huh7-Derived Liver Cancer Stem Cells by Inducing Necroptosis and Apoptosis and Blocking c-MET Signaling. Cells, 13(1), 22.
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4

Statistical Analysis of Experimental Data

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The results are presented as the mean ± standard deviation (SD) of data obtained from at least three independent experiments. The differences among the groups were analyzed by analysis of variance (ANOVA), calculated using the SPSS software, version 9.0 (SPSS Inc., Chicago, Ill., USA). Post hoc analysis was performed using Tukey’s test. Statistical significance was considered at p < 0.05.
Kim Y.J., Yuk N., Shin H.J, & Jung H.J. (2021). The Natural Pigment Violacein Potentially Suppresses the Proliferation and Stemness of Hepatocellular Carcinoma Cells In Vitro. International Journal of Molecular Sciences, 22(19), 10731.
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5

Analyzing Metabolic Changes with PET/CT

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SPSS software, version 9.0 (SPSS, Inc., Chicago, IL, USA) was used to carry out the statistical analyses in the current study. Measurement data are presented as the mean ± standard deviation (SD); enumeration data are presented as percentages. Non-parametric and the χ2 tests were used to compare general information. Variance analysis and the rank-sum test were used for the analysis of differences in 18F-FDG PET/CT data between groups. The change in glucose metabolism rate as an effect of therapy was analysed using a paired-sample Student’s t-test. P<0.05 was considered to indicate a statistically significant difference.
LUO M., LI Q., DONG W., ZHAI X, & KANG L. (2014). Evaluation of mild hypothermia therapy for neonatal hypoxic-ischaemic encephalopathy on brain energy metabolism using 18F-fluorodeoxyglucose positron emission computed tomography. Experimental and Therapeutic Medicine, 8(4), 1219-1224.
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6

Statistical Analysis of Experimental Data

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The results are expressed as mean ± standard error of mean (SEM). The statistical significance of data was evaluated by one-way analysis of variance (ANOVA), using Statistical Package for Social Sciences (SPSS) Software Version 9.0 for Windows. Data were analyzed by post-hoc analysis with least square difference to compare the means. Differences were considered significant at P < 0.05.
Tufarelli V., Laudadio V, & Casalino E. (2016). An extra-virgin olive oil rich in polyphenolic compounds has antioxidant effects in meat-type broiler chickens. Environmental science and pollution research international, 23(7).
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7

Pneumococcal Protein Avidity in Differentiating Disease

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Categorical variables were presented as absolute number (percentage) and continuous variables as median (25th-75th percentiles), as they showed non-parametric distributions. Categorical variables were compared using the Chi-square or Fisher's exact test as appropriate, and continuous variables were evaluated using the Mann-Whitney U-test. Comparison between samples collected at different time points was performed using the Wilcoxon signed-rank test. Receiver operating characteristic (ROC) curves were plotted to determine the accuracy of avidity of IgG against pneumococcal proteins in differentiating children with or without pneumococcal disease, using either each antigen individually or combinations of different antigens. All statistical tests were two-tailed (significance level of 0.05) using SPSS software (version 9.0).
Andrade D.C., Borges I.C., Ekström N., Jartti T., Puhakka T., Barral A., Kayhty H., Ruuskanen O, & Nascimento-Carvalho C.M. (2018). Determination of avidity of IgG against protein antigens from Streptococcus pneumoniae: assay development and preliminary application in clinical settings. European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 37(1).
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