Average values were expressed as mean ± standard deviation. Significant differences in CAE and AE values between the two groups were determined using the nonparametric Mann–Whitney U-test. Significance in the differences between the time-domain and frequency-domain parameters in each group was determined using the paired t-test. The correlations between CAE values and risk factors were analyzed using the Spearman's correlation test. All statistical analyses were performed using SPSS version 14.0 for Windows (SPSS Inc., Chicago, IL, USA). A P < 0.05 was considered statistically significant.
Spss version 14.0 for windows
Manufactured by IBM
Sourced in United States
SPSS version 14.0 for Windows is a statistical software package that provides data analysis, data management, and data documentation capabilities. It offers a wide range of statistical procedures for analyzing data.
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Lab products found in correlation
18 protocols using spss version 14.0 for windows
1
Correlating CAE Values and Risk Factors
2
Survival Analysis of Metastatic Disease
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Statistical analysis was performed using SPSS version 14.0 for Windows® (SPSS, Chicago, IL). OS was calculated in months from the time of primary diagnosis to date of death or last follow-up. Kaplan–Meier (KM) curves for OS were generated. The log-rank test was used to assess statistical differences among variables and P < 0.05 was considered statistically significant. Multivariable survival analyses were performed using Cox-proportional hazards models in order to explore the effect of variables on OS. Development of metastatic disease was analyzed as a time-dependent variable. Hazard ratios (HR) and 95% confidence intervals were calculated to estimate risk of death.
3
Statistical Analysis of Quantitative and Categorical Data
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The data are reported as either mean ± SD values (for quantitative variables) or percentages (for categorical variables). The groups were compared using the Mann–Whitney U and Spearman correlations coefficient tests. Statistical software SPSS, version 14.0, for Windows (SPSS, Chicago, IL, USA) was used for all statistical analyses. The threshold for statistical significance was set at p<0.05.
4
Willingness to Self-Sample for HPV
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All the data were entered and analyzed using SPSS version 14.0 for Windows (SPSS Inc., Chicago, IL). Data were analyzed by descriptive statistics, the chi-square test, and multivariate logistic regression. All women were asked about their willingness to self-sample for HPV and extent of HPV knowledge because we wanted to determine whether having heard of HPV was associated with willingness to self-sample and HPV knowledge.
5
Statistical Analysis of Social Science Data
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Statistical Package for the Social Sciences (SPSS) version 14.0 for Windows was used for data tabulation and analysis. Quantitative variables were expressed as mean ± standard deviation or median and interquartile range (IQR). The qualitative variables were expressed through simple and relative frequencies. For numerical variables, depending on the data distribution, Student's t test or Mann-Whitney test was used for inter-group associations, and paired Student's t test or Wilcoxon test for intra-group associations. For effect size measurement purposes, Cohen's d was used for data with normal distribution and the r value according to the formula (r = z / square root of N in which N = total number of cases) for data with non-normal distribution. The Chi-square test was used for the categorical variables and Cramer's V was calculated to indicate the effect size. The significance level p < 0.05 was considered.
6
Statistical Analysis of Experimental Data
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Results were expressed as the mean±standard deviation. Differences between all other parameters for the three groups were evaluated by ANOVA followed by multiple-group comparisons. An unpaired two-tailed t test and Mann-Whitney test were used, and a P-value of <0.05 was considered statistically significant. SPSS version 14.0 for windows (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses.
7
Nutrition-Based Interventions for Growth in CD
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The continuous variables, such as age and follow-up duration, are expressed as the median values and ranges. Continuous variables, including HAZ, WHZ, BMIZ, and BMDZ, are expressed as the mean±SD. Categorical variables, including sex, disease characteristics, growth retardation rates, and prevalence of subnormal serum levels of the various biochemical markers, are reported as numbers and percentages. Differences between groups of measurements were assessed using the Student t-test or one way ANOVA for normally distributed variables and using the Mann-Whitney U test or the Kruskal-Wallis test for non-normally distributed variables. In addition, subgroup analyses of PCDAI at baseline (moderate to severe ≥30, mild to quiescent <30) and disease activity of CD were performed.
Statistical analyses were performed using SPSS version 14.0 for Windows (SPSS Inc., Chicago, IL, USA), and a p-value <0.05 was considered statistically significant.
Statistical analyses were performed using SPSS version 14.0 for Windows (SPSS Inc., Chicago, IL, USA), and a p-value <0.05 was considered statistically significant.
8
Age-Specific Tooth Number Comparison
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The age-specific number of teeth was compared between practices and SHIP-0 using two different analytical approaches. In the first approach, the age-specific number of teeth (median and interquartile range) of the patients from different dental practices was analyzed in comparison to the age-specific number of teeth of SHIP subjects using the Mann-Whitney U test adjusted for multiple comparisons. Data derived from SHIP-0 were used to generate nomograms of the age-specific number of teeth. Subjects were divided into eleven 5-year strata. For each stratum, the 5th, 25th, 50th, 75th, and 95th quantiles of the number of teeth were calculated and depicted as a nomogram of SHIP-0 data. For the dental practices, only the median number of teeth was calculated and graphically compared within the nomogram.
In the second approach, a negative binomial regression model was used to evaluate the association between the number of missing teeth (dependent variable) and age and dental practice (with SHIP as the reference group). Interactions between age and dental practices were calculated to model potentially differential effect on the number of missing teeth.
Statistical analyses were performed using the commercially available statistical software SPSS version 14.0 for Windows (SPSS Inc., IL, USA) and STATA 8.2 for Windows (College Station, TX, USA).
In the second approach, a negative binomial regression model was used to evaluate the association between the number of missing teeth (dependent variable) and age and dental practice (with SHIP as the reference group). Interactions between age and dental practices were calculated to model potentially differential effect on the number of missing teeth.
Statistical analyses were performed using the commercially available statistical software SPSS version 14.0 for Windows (SPSS Inc., IL, USA) and STATA 8.2 for Windows (College Station, TX, USA).
9
Factors Predicting Virological Outcomes
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Summary statistics for virological outcomes are reported for subgroups of patients defined by their baseline characteristics. Analyses include data from all patients who received at least one dose of study medication. Logistic regression was used in univariate and multivariate analyses to predict factors related to SVR. P-values of less than 0.05 were deemed to be significant. Continuous variables were analyzed using the Mann-Whitney U test. In the tables, continuous variables are presented as median values (range, minimum value-maximum value), while qualitative and discrete variables are presented as absolute and relative frequencies as percentages. An intention-to-treat analysis was performed. All statistical analyses were conducted using SPSS version 14.0 for Windows (SPSS Inc., Chicago, IL, USA).
10
Statistical Analysis of Social Science Data
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Statistical analysis was performed on IBM/PC using statistical computer program Statistical Package for the Social Sciences (SPSS) version 14.0 for windows (SPSS Inc. Chicago, USA). The tests used were descriptive test, Pearson's correlation test (correlation coefficient r) to test a positive or negative linear relationship between two variables and simple t- test (p - values < 0.05 were considered significant).
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