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Spss for windows version 14

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SPSS for Windows, version 14.0 is a statistical software package that provides data analysis, data management, and data documentation capabilities. It offers a range of statistical techniques, including descriptive statistics, bivariate statistics, prediction for numerical outcomes, and prediction for identifying groups.

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Human gene 1.0 st array, by Thermo Fisher Scientific (1 mentions)

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56 protocols using spss for windows version 14

1

Incidence and Progression of Visual Impairment

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To determine the incidence of VI, participants with normal VA[6 (link)] at baseline were examined after 4 years. To determine the progression of VI, participants with VI at baseline were examined for worsening of VI at follow-up. Statistical analyses were performed using the statistical software (SPSS for Windows, version 14.0, SPSS Inc., Chicago, IL, USA). Incidence of mild VI, severe VI, and blindness was assessed. Progression from mild VI to severe VI, from mild VI to blindness, and from severe VI to blindness was determined. Univariate and multiple logistic regression analyses were performed using incident VI as the dependent variable. P < 0.05 was considered statistically significant.
Srinivasan S., Raman R., Ganesan S., Roy R., Natarajan V, & Sharma T. (2017). Four-year incidence and progression of visual impairment in a South Indian population with diabetes. Indian Journal of Ophthalmology, 65(7), 589-595.
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2

Oral Cancer Gene Expression Analysis

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Data were expressed as mean ± standard deviation. T-test or Chi square test were used to compare difference between groups as appropriate. Data analysis was performed using SPSS® for Windows version 14.0 (SPSS, Inc., Chicago, IL, USA). All the tests were two-sided. P-values <0.05 were considered as statistically significant. SurvExpress (Interface v2.0, Database Update: Sep 30, 2015) was used to perform survival analysis on oral cancer dataset GSE26549 as described [12 (link)]. The dataset contains global gene expression data from 86 oral leukoplakia tissue samples examined with Affymetrix Human Gene 1.0 ST Array [13 (link)].
Gao W., Li J.Z., Chen S.Q., Chu C.Y., Chan J.Y, & Wong T.S. (2016). Decreased brain-expressed X-linked 4 (BEX4) expression promotes growth of oral squamous cell carcinoma. Journal of Experimental & Clinical Cancer Research : CR, 35, 92.
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3

Botulinum Toxin Therapy Evaluation

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Results were evaluated before and after BoNT therapy and comparisons were made between subtypes. Differences in parameters assessed by the rating scale were evaluated at baseline and at the end of the follow-up. One-way analysis of variance was performed to compare the differences between the four subtypes. Post-hoc Scheffé tests were used to evaluate the differences. All analyses were performed using the statistical software package SPSS for Windows version 14.0 (SPSS Japan Inc., Tokyo, Japan).
, & Yoshida K. (2019). Botulinum Neurotoxin Therapy for Lingual Dystonia Using an Individualized Injection Method Based on Clinical Features. Toxins, 11(1), 51.
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4

Triplicate Assay Statistical Analysis

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Each assay was implemented in triplicate and data were exhibited as mean ± standard deviation (SD). Based on SPSS for Windows, Version 14.0. (SPSS Inc., Chicago), student’s t-test was employed to compare differences between two groups, while one-way analysis of variance (ANOVA) was applied for the comparisons among no less than two groups. P < 0.05 was deemed as statistically significant.
Wang T., Zhai R., Lv X., Wang K, & Xu J. (2020). LINC02418 promotes malignant behaviors in lung adenocarcinoma cells by sponging miR-4677-3p to upregulate KNL1 expression. BMC Pulmonary Medicine, 20, 217.
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5

Temporal Muscle Excision Impact on ICP

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Data were entered into a computerized database and analyzed using SPSS for Windows version 14.0 (SPSS Inc., Chicago, IL, USA). ICP and TCCS findings are presented as mean ± standard deviation. The ICPs before and after the second operation with temporal muscle excision were compared using a paired t-test. Statistical differences were considered significant at p < 0.05.
Huang S.H., Huang A.P., Huang S.J, & Kuo L.T. (2021). Resection of swollen temporal muscles in patients with intractable intracranial hypertension after decompressive craniectomy. Acta Neurochirurgica, 163(9), 2623-2628.
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6

Metabolic Effects of H. pylori Infection

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Values are expressed as means and standard deviations (SD) for continuous data. Categorical data were analyzed with the Chi-square test or Fisher’s exact test, as appropriate. The Cochran–Mantel–Haenszel (CMH) statistic was used to test the conditional independence of data in 2×2×2 tables. All statistical tests were 2-tailed. A p- value of <0.05 was considered statistically significant. The association between metabolic parameters and H. pylori serostatus was evaluated by the Pearson correlation coefficient and multivariate logistic regression analysis after adjusting for sex as a potential confounder. Statistical analyses were performed using the statistical package SPSS for windows (Version 14.0, Chicago, IL, USA).
Chen L.W., Chien C.Y., Yang K.J., Kuo S.F., Chen C.H, & Chien R.N. (2015). Helicobacter pylori Infection Increases Insulin Resistance and Metabolic Syndrome in Residents Younger than 50 Years Old: A Community-Based Study. PLoS ONE, 10(5), e0128671.
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7

Optimizing Door-to-Balloon Time and Outcomes in STEMI

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Summary statistics included median door-to-balloon time; FP-STEMI and in-hospital mortality rates and odds ratios of FP-STEMI were compared in the intervals before, during the transition and after the implementation of the aggressive DTB protocol and before, during the transition and after the implementation of the aggressive QI initiative. Continuous variables were summarized using median (range) and categorical variables were summarized using frequency (%). Odds ratios were calculated for TP-STEMI, FP-STEMI, in-hospital mortality in all STEMI, in-hospital mortality in TP-STEMI, and in-hospital mortality in FP-STEMI. The student’s t-test for continuous variables and 2 test for categorical variables were used to compare univariate changes in outcomes between different groups. Logistic regression was used for multivariable analysis to control for confounders permitting adjusted comparison of outcomes. Covariates used for adjustment were time of presentation (i.e. day time vs. night time and week day vs. weekend/holiday), years of experience of interventional cardiologist and years of experience of ER physicians. All tests are two tailed with P<. 05 considered significant. We used SPSS for Windows version 14.0 (SPSS Inc., Chicago, IL, USA).
Fanari Z., Abraham N., Kolm P., Doorey J., Herman A., Hoban A., Reddy V., Hammami S., Leonovich J., Rahman E., Weintraub W.S, & Doorey A.J. (2015). Aggressive Measures To Decrease Door To Balloon Time And Incidence Of Unnecessary Cardiac Catheterization: Potential Risks And Role of Quality Improvement. Mayo Clinic proceedings, 90(12), 1614-1622.
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8

Statistical Analysis of Experimental Data

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Statistical analysis as performed using the computer software SPSS for Windows version 14.0 (SPSS Inc., Chicago, USA). Analysis of variance factorial analysis and post hoc multiple comparisons were used to evaluate the significance of the differences. Differences in proportions were analyzed using the Chi-square test or Fisher’s exact test when appropriate. All data were presented as mean (±SD). Results were considered to be statistically significant when P-value was less than 0.05 (P<0.05).
PLUNCEVIC GLIGOROSKA J., GONTAREV S., DEJANOVA B., TODOROVSKA L., SHUKOVA STOJMANOVA D, & MANCHEVSKA S. (2019). Red Blood Cell Variables in Children and Adolescents regarding the Age and Sex. Iranian Journal of Public Health, 48(4), 704-712.
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9

Comparative Statistical Analysis of Experimental Data

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All analyses were carried out by seizing SPSS for Windows, Version 14.0. (SPSS Inc., Chicago). Each assay was conducted for at least three times. Data were illustrated as mean ± standard deviation (SD). Student’s t-test was adopted to compare the two groups. One-way analysis of variance (ANOVA) was used for multiple groups. P value less than 0.05 was considered of statistical significance.
Xiu C., Song R, & Jiang J. (2021). TUG1 promotes retinoblastoma progression by sponging miR-516b-5p to upregulate H6PD expression. Translational Cancer Research, 10(2), 738-747.
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10

Delirium Symptom Analysis in Clinical Settings

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Statistical Package for Social Scientists (SPSS for Windows, Version 14.0. Chicago, SPSS Inc.) was used for the analysis of data. Mean and standard deviation with range were calculated for continuous sociodemographic variable (age at assessment) and clinical variables (duration of delirium time from first onset of symptoms to the assessment). Frequency and percentages were calculated for categorical sociodemographic variable (gender) and clinical variables (etiology, medications etc.). Chi-square test, Fisher's exact test, and t-test were used to compare various variables of different groups and subgroups. Significance was fixed at P < 0.05. Factor analysis of symptom items was carried out using a principal components analysis.
Grover S., Ghosh A., Sarkar S., Desouza A., Yaddanapudi L.N, & Basu D. (2018). Delirium in Intensive Care Unit: Phenomenology, Subtypes, and Factor Structure of Symptoms. Indian Journal of Psychological Medicine, 40(2), 169-177.
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