The data in the present study were analyzed by the SPSS version 22.0 statistical software, and the results were exhibited as the mean ± standard deviation. Student's t-test or two-way analysis of variance (ANOVA) were used to analyze the difference among the two or more two groups. P < 0.05 indicated a significant difference.
Spss version 22.0 statistical
Manufactured by IBM
Sourced in United States
SPSS version 22.0 is a software package designed for statistical analysis. It provides a range of statistical tools and techniques for data management, analysis, and visualization. The core function of SPSS is to enable users to perform various statistical procedures, including descriptive statistics, hypothesis testing, regression analysis, and more. The software is designed to assist researchers, analysts, and professionals in various fields to analyze and interpret their data effectively.
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Lab products found in correlation
4 protocols using spss version 22.0 statistical
1
Statistical Analysis of Experimental Data
2
Epidemiological Audit of Ludwig's Angina
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An audit was conducted of all cases of Ludwig's
Angina that was seen in the Department of Oral and
Maxillofacial Surgery from January 2015 - December
2016. Information retrieved from the patients' case
files included the demographics, aetiology, signs and
symptoms at presentation and possible predisposing
factors. Laboratory investigations that were done
including Full Blood Count, Electrolytes and Urea,
Blood Sugar profile and Microscopy, culture and
sensitivity (MCS) of all aspirates obtained. In addition,
predisposing factors, complications and duration of
hospital stay and treatment outcome were also noted.
Those patients with comorbid conditions were jointly
managed with physicians of appropriate specialty. For
the sake of this study, a period of admission greater
than 6 days was considered prolonged. Data analysis
was done using SPSS version 22.0 statistical software
package (SPSS Inc., Chicago, IL, USA) to present
descriptive statistics and frequency charts.
Angina that was seen in the Department of Oral and
Maxillofacial Surgery from January 2015 - December
2016. Information retrieved from the patients' case
files included the demographics, aetiology, signs and
symptoms at presentation and possible predisposing
factors. Laboratory investigations that were done
including Full Blood Count, Electrolytes and Urea,
Blood Sugar profile and Microscopy, culture and
sensitivity (MCS) of all aspirates obtained. In addition,
predisposing factors, complications and duration of
hospital stay and treatment outcome were also noted.
Those patients with comorbid conditions were jointly
managed with physicians of appropriate specialty. For
the sake of this study, a period of admission greater
than 6 days was considered prolonged. Data analysis
was done using SPSS version 22.0 statistical software
package (SPSS Inc., Chicago, IL, USA) to present
descriptive statistics and frequency charts.
3
Factors Associated with Complications and Survival
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Continuous data are expressed as the mean ± standard deviation (SD), and Student’s t-test was used to compare the differences between the two groups. Categorical data are shown as n (%), and Chi-squared test or Fisher exact test were used. Continuous variables including age, BMI, the maximal tumor diameter and operative time were converted to categorical variables by the median values in all patients for the following logistic regression analyses and cox regression analyses. Univariate and multivariate logistic regression analyses were used to identify the factors associated with the overall complications. Survival rates were calculated with the Kaplan–Meier curve, and compared with log-rank tests. Multivariate cox regression analyses were conducted to identify independent predictive factors for OS and DFS. Data were analyzed using SPSS (version 22.0) statistical software. A bilateral p value <0.05 was considered statistically significant.
4
Comparative Statistical Analysis of Data
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Statistical analysis was conducted with SPSS version 22.0 statistical software. The data were expressed as the mean ± standard deviation (SD). Data between groups were compared by one-way analysis of variance with least significant difference multiple comparison test. p < 0.05 indicates statistical significance.
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