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Spss 14 0 version 14

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SPSS 14.0, version 14.0.1 is a software package used for statistical analysis. It provides tools for data management, analysis, and presentation.

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Lab products found in correlation

6 protocols using spss 14 0 version 14

1

Statistical Analysis of Patient Characteristics

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Patient demographics and the other interventions characteristics were analyzed using descriptive statistics, such as means, medians, ranges, and percentages. Values were compared using non parametric tests as Mann-Whitney test (M-W test), Chi square test, Fisher test. Differences between pre and post values were compared using Wilcoxon nonparametric test for two paired groups. The threshold for significance was p = 0.05.
All statistical analyses were performed using SPSS 14.0, version 14.0.1 (SPSS Inc., Chicago, IL) and JMP, version 12.0.1 (SAS Institute Inc., Cary, NC, 1989–2007).
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2

Radiographic Evaluation Study

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The study variables were analyzed and compared among groups using nonparametric Mood’s median tests (SPSS 14.0, version 14.0.1; SPSS Inc, Chicago, IL). Significance was set at P value < 0.05.
Ethical approval for the study has not been necessary since no additional clinical procedures have been performed beside the standard radiographic evaluation, and the anonymity of patients was preserved.
All patients provided written informed consent for the inclusion in the study, in accordance with the Ethical Standards of the 1964 Declaration of Helsinki, as revised in 2000.
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3

Revision Surgery Survival Analysis

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Patients’ ages were compared using a t-test. Sex and implant-related features were compared using chi-square analysis. The survival rate of patients was calculated and plotted according to the Kaplan–Meier method. The end-point was stem or neck revision, whereas revision of the cup/insert was not considered as a failure, since it did not involve stem issues. Implants were followed until the last date of observation (date of death or December 31, 2016). Statistical analyses were performed using SPSS 14.0, version 14.0.1 (SPSS Inc, Chicago, IL, USA) and JMP, version 12.0.1 (SAS Institute Inc, Cary, NC, USA, 1989–2007).
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4

Survival Analysis of Prosthetic Implants

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Statistical analyses were performed using SPSS 14.0, version 14.0.1 (SPSS Inc, Chicago, IL) and JMP, version 12.0.1 (SAS Institute Inc, Cary, NC, 1989–2007). Descriptive statistics were used to summarize the data, presented as median and mean with standard deviation (SD) for continuous variables and as frequency with percentage (%) for categorical variables. Statistical significance was calculated using the Mann–Whitney test for clinical quantitative data. A p value of < 0.05 was considered statistically significant. Survival curves were calculated and plotted using the Kaplan–Meier method. Prosthesis failure is defined as the revision of even one prosthetic component. Cox proportional hazards model was used to investigate the association between the survival time of implants and multiple predictive variables. Implants were followed until the last date of observation (date of death or date of visit).
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5

Comparative Analysis of Study Variables

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Study variables were analysed and compared among groups. Comparison among the groups was performed by using Kruskal–Wallis and Chi-square tests (SPSS 14.0, version 14.0.1; SPSS Inc, Chicago, IL, USA). Significance was set at p-value < 0.05.
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6

Long-Term Survival Analysis of Hip Implants

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Demographics, implant features, and reasons for revision were recorded. The survival analysis was performed using the Kaplan–Meier method. The primary endpoint was stem revision, with a focus on breakage and aseptic loosening. Ninety-five-percent confidence interval was established for all required distributions. Revision of the cup/insert was not considered as failure. Implants were followed until the last date of observation (date of death or 31st December 2017). Statistical analyses were performed using SPSS 14.0, version 14.0.1 (SPSS Inc, Chicago, IL) and JMP, version 12.0.1 (SAS Institute Inc, Cary, NC, 1989–2007). Wilcoxon tests assessed the statistically significant differences between the survival curves: the significance threshold (p) was set at 0.05.
Approval of the institutional review board was not necessary, as RIPO respects the standard levels of ethics and conceals patients’ identity as a standard practice.
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