Spss statistical software version 14

Manufactured by IBM

Sourced in United States

SPSS Statistical Software version 14.0 is a comprehensive software package for statistical analysis. It provides a wide range of data management and analysis capabilities, including data entry, data transformation, statistical modeling, and reporting. The core function of SPSS is to enable users to analyze and interpret data effectively.

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Lab products found in correlation

Iu22 us scanner, by Philips (1 mentions)

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SPSS statistical software package, version 14.0 SPSS version 14.0 statistical software SPSS statistical software for Windows, version 14.0 SPSS statistical software 14.0 SPSS software version 14.0 SPSS statistical software (version SPSS version 14.0 SPSS software 14.0 SPSS statistical software SPSS software (version

7 protocols using spss statistical software version 14

Predicting Sarcopenia with TUG Test

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The numerical data were described by the means and standard deviations, and the categorical data were described by the proportions and confidence intervals. The accuracy was evaluated using receiver operating characteristic (ROC) curves obtained from the sensitivity and specificity analyses; the TUG test measured the physical performance as the predictive variable and the presence of sarcopenia as the outcome variable. Student’s t-test was used for the intergroup comparisons of the numerical variables (the age, muscle mass index, mental function, length of hospital stay at the time of the data collection, Charlson Comorbidity Index score and physical performance) using a cut-off of ≥10.85 s on the TUG test for the prediction of sarcopenia. These analyses were performed using the SPSS statistical software, version 14.0.

Martinez B.P., Gomes I.B., de Oliveira C.S., Ramos I.R., Rocha M.D., Júnior L.A., Camelier F.W, & Camelier A.A. (2015). Accuracy of the Timed Up and Go test for predicting sarcopenia in elderly hospitalized patients. Clinics, 70(5), 369-372.

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Mixed-Effects Analysis of Longitudinal Outcomes

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The analysis model testing the two hypotheses used the linear mixed models analysis procedure in SPSS statistical software version 14.0, which adjusts standard errors for the correlatedness of outcomes from the same individual at different time points.³⁸ The linear mixed-effect model sums fixed and random effects of participant responses. Predictor variables (such as age or race) affect the population mean, and were therefore fixed. The time variable (treated as a four-level categorical variable) is affected by sampling procedure and is therefore random. Several variables varied over time and these included trust, social support, competing needs, and continuity and satisfaction with care. Because it is necessary to adjust for covariance in the structure to properly interpret fixed effects, a mixed-effect model was necessary.³⁹ Data from the two clinic groups was pooled for the analyses. The significance for the analysis was set at .05.

van den Berk-Clark C, & McGuire J. (2014). Trust in Health Care Providers: Factors Predicting Trust among Homeless Veterans over Time. Journal of health care for the poor and underserved, 25(3), 1278-1290.

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Statistical Analysis of Research Data

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All data were expressed as means±standard deviations (SDs). Numeric and non-numeric parameters were compared between groups by using the Student's t-test and the chi-square test or Fisher's exact test, respectively. P values < 0.05 were considered statistically significant. The parameters that were significantly different in a univariate analysis were included in a multivariate logistic regression analysis. Statistical analysis was performed by using the SPSS statistical software version 14.0 (SPSS Inc., Chicago, IL, USA).

Lee K.J., Jung K.W., Myung S.J., Kim H.J., Kim N.Y., Yoon Y.H., Sohn C.I., Shin J.E., Cho Y.K., Hong S.J., Lee T.H., Park K.S., Jung H.K., Choi C.H., Kim G.H., Kim J.H., Jo Y.J., Lee J.S, & Park H.J. (2014). The Clinical Characteristics of Colonic Pseudo-obstruction and the Factors Associated with Medical Treatment Response: A Study Based on a Multicenter Database in Korea. Journal of Korean Medical Science, 29(5), 699-703.

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Testicular Volume Evaluation using Ultrasound

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A Phillips iU22 US scanner with an L17-5 MHz linear probe was used for the determination of testicular structure and volume. Volume was calculated using the approximation for a prolate ellipsoid: V = 0.523 × length × thickness × width.^{[7 (link)]}The testicular volume ratio was calculated by the equation of the operated testis volume to the scrotal (control) testis mean volume. The scrotal testis mean volume was calculated according to the results of reference group.
The structure of the testis was assessed in gray scale with the same settings of the gain, focus, and depth. Echogenicity was scored in 2 grades, normal (homogeneous) and abnormal (inhomogeneous). Microlithiasis was defined as 5 or more echogenic foci per view in the testis. All US scans were performed by 1 radiologist with 15 years’ experience in the field of clinical US.
SPSS statistical software version 14.0 was used, with Wilcoxon signed ranks test for the analysis of differences between ratios.

Jedrzejewski G., Wieczorek A.P., Osemlak P, & Nachulewicz P. (2016). The role of ultrasound in the management of undescended testes before and after orchidopexy – an update. Medicine, 95(51), e5731.

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Statistical Analysis of Breast Cancer

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Analysis of variance (ANOVA) and Tukey's post hoc tests were used for comparison between groups. Two-tailed Student's t-tests were used when comparing two groups. Differences in tumor incidence (percentage of animals with breast cancer) were analyzed by Fisher's exact probability test. Values were represented as mean ± SEM. P < 0.05 was considered to be statistically significant. Statistical analysis was done using SPSS statistical software version 14.0.

Alizadeh A.M., Sadeghizadeh M., Najafi F., Ardestani S.K., Erfani-Moghadam V., Khaniki M., Rezaei A., Zamani M., Khodayari S., Khodayari H, & Mohagheghi M.A. (2015). Encapsulation of Curcumin in Diblock Copolymer Micelles for Cancer Therapy. BioMed Research International, 2015, 824746.

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Comparative Analysis of Biochemical Markers

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Data were expressed as mean ± standard deviation. Multiple comparisons were carried out using one-way analysis of variance (ANOVA), followed by Bonferroni post hoc test. SPSS statistical Software, version 14 (SPSS Inc, Chicago, IL, USA), was used for analyses. Significance was defined as P < 0.05.

Cotogni P., Trombetta A., Muzio G., Maggiora M, & Canuto R.A. (2015). The Omega-3 Fatty Acid Docosahexaenoic Acid Modulates Inflammatory Mediator Release in Human Alveolar Cells Exposed to Bronchoalveolar Lavage Fluid of ARDS Patients. BioMed Research International, 2015, 642520.

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Epilepsy Seizure Frequency Analysis

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To test differences between the mean seizures frequency and scores at the different time-points (T0, T1, T2, T3) the non-parametric Wilcoxon Signed-Rank test was applied. To compare demographic and clinical factors it was used the non-parametric Kruskall-Wallis. All the anamnestic factors that could predict positive outcome were investigated by means of multivariate logistic regression.
Statistical analyses were carried out using SPSS statistical software, version 14 (SPSS Inc., Chicago, IL, U.S.A.) and p-values of < 0.05 were considered statistically significant.

Barbella G., Cocco I., Freri E., Marotta G., Visani E., Franceschetti S, & Casazza M. (2018). Transcutaneous vagal nerve stimulatio (t-VNS): An adjunctive treatment option for refractory epilepsy. Seizure, 60.

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