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Spss v 16.0 for windows

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SPSS v.16.0 for Windows is a software package for statistical analysis. It provides tools for data manipulation, analysis, and visualization. The software can be used to perform a variety of statistical tests and procedures.

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Lab products found in correlation

Spss v11, by IBM (1 mentions) Prism 4.0 for windows, by GraphPad (1 mentions) Statview v5, by SAS Institute (1 mentions)

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SPSS for Windows software (v. 16.0). SPSS for Windows v.16.0 SPSS 16.0 for Windows 16.0 SPSS for Windows SPSS for Windows 16.0 SPSS 16.0 Windows 16.0 for Windows SPSS 16.0 IBM SPSS 16.0 SPSS SPSS for Window

35 protocols using spss v 16.0 for windows

1

Statistical Analysis in SPSS v16.0

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All statistical analyses were conducted using SPSS v16.0 for Windows.
Palmer W.E, & Mercer V.S. (2019). Effects of the Matter of Balance Program on Self-Reported Physical Activity in Community-Dwelling Older Adults. Gerontology and Geriatric Medicine, 5, 2333721419880698.
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2

Comparative Statistical Analysis Protocol

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Numerical data were expressed as mean ± standard deviation (SD). Paired Student’s t-test (two tailed) was used for statistical analysis using SPSS.v16.0 for windows (SPSS Inc., Chicago, IL, USA). P values less than 0.05 were considered statistically significant and indicated with *; P values less than 0.01 were indicated with **.
Khalil M.A., Hraběta J., Groh T., Procházka P., Doktorová H, & Eckschlager T. (2016). Valproic Acid Increases CD133 Positive Cells that Show Low Sensitivity to Cytostatics in Neuroblastoma. PLoS ONE, 11(9), e0162916.
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3

Analyzing Immune Profiles in Cancer

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Data are presented as the mean±SD of three or more independent experiments. Quantitative data were compared using Student’s t-tests. Categorical data were compared using χ2 tests or Fisher’s exact tests. Correlation analyses were used to analyze the relationships among the expression levels of CD66b, CD68 and p-STAT3. Overall survival (OS) and cumulative recurrence rates were analyzed by Kaplan-Meier analysis and log-rank tests. Univariate and multivariate analyses were performed using Cox proportional hazards regression models. P values <0.05 were considered statistically significant. All statistical analyses were performed using SPSS V.16.0 for Windows.
Zhou Z., Wang P., Sun R., Li J., Hu Z., Xin H., Luo C., Zhou J., Fan J, & Zhou S. (2021). Tumor-associated neutrophils and macrophages interaction contributes to intrahepatic cholangiocarcinoma progression by activating STAT3. Journal for Immunotherapy of Cancer, 9(3), e001946.
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4

Investigating Statistical Significance

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Data are expressed as the mean ± standard deviation. A paired Student t test (two tailed) was performed to analyze the data using SPSS v16.0 for Windows (SPSS Inc., Chicago, IL, USA). P<0.05 was considered statistically significant.
Zhong Z.Y., Shi B.J., Zhou H, & Wang W.B. (2018). CD133 expression and MYCN amplification induce chemoresistance and reduce average survival time in pediatric neuroblastoma. The Journal of International Medical Research, 46(3), 1209-1220.
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5

Comparing Pre- and Post-operative Outcomes

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Statistical analysis relied on standard software (SPSS v16.0 for Windows, SPSS, Inc, Chicago, IL, USA). Paired t-tests were used to compare the differences between pre- and post-operative DSCSA values. To compare the interval changes of VAS and ODI after ULBD, repeated ANOVA test was performed. In addition, the results of VAS, ODI and DSCSA were correlated using the Spearman correlation matrix. Statistical significance was set at p<0.05.
Chung S.W., Kang M.S., Shin Y.H., Baek O.K, & Lee S.H. (2014). Postoperative Expansion of Dural Sac Cross-Sectional Area after Unilateral Laminotomy for Bilateral Decompression: Correlation with Clinical Symptoms. Korean Journal of Spine, 11(4), 227-231.
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6

Assessing Exercise-Induced Adaptations Under Hypoxia

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Statistical analyses were performed using SPSS v.16.0 for Windows (SPSS Inc., Chicago, IL, USA). All values are presented as the mean ± standard deviation (SD), and differences were determined using one-way ANOVA with Bonferroni or Tamhane’s T2 post hoc tests. P values < 0.05 were considered statistically significant.
The study protocol for each group is shown in Table 2.

The study protocol for each group.

ControlNEREIA3-d AA1-week AA2-week AAMTI
Fed under normal conditionsAlways2 weeks2 weeks11 days1 weekNoNo
Fed under altitude conditionsNoNoNo3 days1 week2 weeks2 weeks
Inhibitor intraperitoneal injectionNoNoNoNoNoNoYes
Treadmill load exerciseNoYes#Yes*Yes*Yes*Yes*Yes*
Recorded exhaustive timeaNoYesYesYesYesYesYes
Western blottingbYesYesYesYesYesYesYes
Immunohistochemical detectioncYesYesYesYesYesYesYes
Neuropathological evaluationcYesYesYesYesYesYesYes
Brain lactate content determinationdYesYesYesYesYesYesYes

Sample size: an = 9 per group; bn = 3 per group; cn = 3 per group; dn = 3 per group.

Treadmill load exercise: *exercise under simulated high-altitude, low-pressure and hypoxic conditions; #exercise under normal pressure and normoxic conditions.

Gao C., Yang B., Li Y, & Pei W. (2023). A monocarboxylate transporter-dependent mechanism confers resistance to exercise-induced fatigue in a high-altitude hypoxic environment. Scientific Reports, 13, 2949.
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7

Evaluating Contaminant Uptake in Chicks

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Statistical analyses were performed with SPSS V. 16.0 for Windows. The level of significance was set at p = 0.05 throughout the study. One-way analysis of variance (ANOVA) tests were used to determine the differences in contaminant levels and enantiomer fractions among sample groups.
Chemicals detected in the remaining yolk were treated as fractions of the injected dose not absorbed during embryo development. We calculated the uptake efficiency and metabolic rate as follows:


where M0-day egg, Myolk and Mtotal chick represent the mass of contaminant in the day-0 egg, the remaining yolk and the neonate chick, respectively.
Li Z.R., Luo X.J., Huang L.Q, & Mai B.X. (2016). In ovo uptake, metabolism, and tissue-specific distribution of chiral PCBs and PBDEs in developing chicken embryos. Scientific Reports, 6, 36597.
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8

Statistical Analysis of Survival Outcomes

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Statistical analysis was performed using SPSS.v16.0 for Windows (SPSS Inc., Chicago, IL). The statistical analysis was conducted by Student’s t test or chi-square test, and cumulative survival was compared by Kaplan—Meier method and log rank test. Values of p <0.05 were considered statistically significant.
Lin J.X., Huang C.M., Zheng C.H., Li P., Xie J.W., Wang J.B., Lu J., Chen Q.Y., Cao L.L, & Lin M. (2015). Surgical Outcomes of 2041 Consecutive Laparoscopic Gastrectomy Procedures for Gastric Cancer: A Large-Scale Case Control Study. PLoS ONE, 10(2), e0114948.
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9

Genetic Risk Factors for T2D Neuropathy

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The frequencies of HLA-DRB1 and DQB1 alleles and deduced DR-DQ haplotypes were calculated by direct counting of HLA phenotypes. Then, allele and haplotype frequencies were compared between the patients and controls using chi-square analysis with Yates' correction or two-tailed Fisher's exact test where appropriate. The risks contributed by alleles and deduced haplotypes were assessed by calculation of relative risk (RR) with 95% confidence intervals (CIs). Logistic regression analysis was implemented to determine the association between risky alleles and haplotypes and development of T2D neuropathy. Also, paired Student's t-test was performed to analyze quantitative data between the study's groups. All of the calculations were done by using the SPSS v.16.0 for Windows and probability values less than 0.05 were considered as statistically significant.
Marzban A., Kiani J., Hajilooi M., Rezaei H., Kahramfar Z, & Solgi G. (2016). HLA class II alleles and risk for peripheral neuropathy in type 2 diabetes patients. Neural Regeneration Research, 11(11), 1839-1844.
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10

Statistical Analysis of Clinical Data

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For descriptive statistics, data are presented as the mean ± standard deviation, and for categorical variables as counts or frequencies with percentages or proportions. The Student's t-test was used to evaluate differences between sample groups for normally distributed data, while the Mann–Whitney U test was used for non-parametric variables.
Correlations between the number of positive domains and symptom severity were assessed by Spearman's coefficient of rank correlation. All statistical assessments were two-tailed and were considered significant when p < 0.05. All data analysis was performed using SPSS (v16.0 for Windows) statistical software (SPSS Inc., Chicago, IL).
Zhang Y., Zhang Y., Zhao C., Yu T., Liu Y., Shi W., Shi F., Liu X., Sheng J., Huang H, & Xu H. (2017). Reduced alternative splicing of estrogen receptor alpha in the endometrium of women with endometriosis. Oncotarget, 8(66), 110176-110186.
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