Statistical Product and Service Solutions, version 19.0, was used for statistical analysis. Normally distributed quantitative data are expressed as ± s. Independent samples t test was used for inter-group comparisons. Non-normally distributed quantitative data are expressed as medians and interquartile ranges[M(Q1,Q3)]. The rank-sum test was used for comparison between the groups. The Mann-Whitney U chi-square test was used for inter-group comparison of qualitative data. P-values <.05 were considered statistically significant.
Version 19
Manufactured by IBM
Sourced in United States
Version 19.0 of the IBM lab equipment product is a comprehensive suite of specialized devices and tools designed for scientific research and analysis. The core function of this product is to provide a reliable and versatile set of instruments to support various laboratory procedures and experiments. The detailed specifications and capabilities of this product are not available in this limited context.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using version 19
1
Statistical Analysis Methodology
2
Micro-CT and Histomorphometric Analysis
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In the calculations of micro-CT morphometric and histomorphometric indices and in measurements of the epiphyseal quotient, independent t-tests revealed variations among the treatment groups (version 19.0, SPSS Inc., Chicago, IL, USA). Differences between the surgically treated groups and the normal femoral heads were compared by performing paired sample t-tests (significance: P < 0.05). The data were presented as means and SDs.
3
Variance Analysis of Agricultural Genotypes
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Data were analyzed for three test sites combined using analysis of variance (ANOVA) according to the following linear model in Eq. 1:
where Y ijk is the performance of line i within site j, μ is the overall mean, α i is the line effect, β j is the site effect, (αβ) ij is the random effect of line i within site j, and ε ijk is the random error. Microsoft Excel was used for data processing, and SPSS (Statistical Product and Service Solutions) version 19.0 software was used for variance analysis and multiple comparisons.
Variation among lines within each site was analyzed by ANOVA according to the linear model in Eq. 2:
where X ijk is the performance of line i within block j, μ is the overall mean, α i is the line effect, β j is the block effect, (αβ) ij is the random effect of line i within block j, and ε ijk is the random error.
where Y ijk is the performance of line i within site j, μ is the overall mean, α i is the line effect, β j is the site effect, (αβ) ij is the random effect of line i within site j, and ε ijk is the random error. Microsoft Excel was used for data processing, and SPSS (Statistical Product and Service Solutions) version 19.0 software was used for variance analysis and multiple comparisons.
Variation among lines within each site was analyzed by ANOVA according to the linear model in Eq. 2:
where X ijk is the performance of line i within block j, μ is the overall mean, α i is the line effect, β j is the block effect, (αβ) ij is the random effect of line i within block j, and ε ijk is the random error.
4
Assessing Pregnancy Biomarkers Using ROC
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All the statistical analyses were carried out using Statistical package for the social sciences (SPSS) IBM version 19.0 (Chicago, Illinois). Data were expressed as mean, standard deviation (SD) or frequencies and percentages. For comparing categorical data, Chi-square/Fishers exact test was carried out as appropriate. Receiver operating characteristics (ROC) analysis was performed to determine the cut-off value for P4 and P4/E2 at an approximately equivalent sensitivity and specificity, which may discriminate between pregnancy and nonpregnancy. A P < 0.05 was considered to be statistically significant.
5
Cervical Pathology and Colposcopy Terminology Assessment
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The findings were reported using International Federation of Cervical Pathology and Colposcopy Terminology, 2011. The data were entered into Microsoft Excel spread sheet and analyzed using Statistical Product Service Solutions software IBM Version 19.0. Descriptive statistics such as mean, standard deviation, and range values were calculated for continuous variables. Frequency and present values were computed for qualitative variables. Mean values were compared using analysis of variance. Frequency distributions were compared using Chi-square/Fisher's exact test as appropriate. Sensitivity and specificity analyses were done between scores and histology. Spearman's correlation coefficient was computed between Reid's score and Swede score and kappa statistics was computed. A probability value of P < 0.05 was considered for statistical significance.
6
Statistical Analysis of Social Science Data
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The data were analyzed using Statistical package for Social Sciences (SPSS) IBM version 19.0.( Armonk, New York, IBM Corporation). Descriptive statistics such as mean, standard deviation, and range values were computed for quantitative variables. Continuous variables were tested using Kolmogorov-Smirnov test for normality assumption of the data. For approximate to normally distributed data, Student's t-independent test with equal variance assumed was used to see any significant difference between two groups. Frequency data across categories were compared using Chi-square/Fisher's exact test as appropriate. Whenever, the expected cell value was <5 in 2 × 2 table, Fisher's exact test was carried out. A probability level P < 0.05 was considered for statistical significance.
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