As quantitative variables, the values of clinical characteristics were expressed as means ± standard deviation (SD) and analyzed using unpaired Student’s t-test. In both patients and controls, the distribution of genotypes for each SNP were tested for deviations from Hardy-Weinberg equilibrium by a chi-square test and analysis was done using Fisher’s exact test. P<0.05 was considered statistically significant. To estimate the risk of association with genotypes, odds ratios (OR) and 95% confidence interval (CI) were used. Chi-square test for association was used for testing difference of the genotype frequencies between normal controls and early-onset CAD patients. Multivariate logistic regression analysis was performed to determine the independent risk factors of CAD. All the statistical analyses were performed using SPSS software 17.0 version (SPSS Inc., Chicago, IL, USA).
Spss software 17.0 version
Manufactured by IBM
Sourced in United States
SPSS software 17.0 version is a statistical analysis software package developed by IBM. It provides a range of statistical and data management capabilities, including data exploration, modeling, and reporting. The software is designed to help users analyze and interpret data effectively.
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Lab products found in correlation
8 protocols using spss software 17.0 version
1
Genetic Risk Factors for Early-Onset CAD
2
Prognostic Role of hUTP14a in HCC
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All statistical analyses were carried out using SPSS software 17.0 version (SPSS Inc., Chicago, IL, USA) and GraphPad Prism Software (GraphPad Software, San Diego, CA, USA). The hUTP14a expression in the HCC tissue specimens was compared with that in nontumorous liver tissue specimens using the McNemar's test. Associations between hUTP14a IHC staining and clinicopathological variables were analyzed using the Pearson's Chi-square test. Patient survival analysis was evaluated using the Kaplan-Meier method, and the difference between the survival curves of nucleolar hUTP14a positive and negative groups for overall survival (OS), i.e., the period from hepatic resection to death or the last time of follow-up, and disease-free survival (DFS), i.e., the period from hepatic resection to recurrence or death or the last time of follow-up, was analyzed using the log-rank test. Univariate and multivariate survival analyses were performed using the Cox proportional hazard model. A value of P < 0.05 was considered statistically significant.
3
Genetic Associations with Type 2 Diabetes
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Statistical analysis was conducted using SPSS software 17.0 version (SPSS, Chicago, IL, USA) and GraphPad InStat 3.0 (USA). The means ± SD between cases and control groups, were tested using student's t-test.. The allelic and genotypic frequencies between cases and controls were tested using Chisquare test. Associations between SNPs and T2DM risks were assessed by using odds ratio (OR) with 95% con dence interval (95% CI). P value < 0.05 was considered to be signi cant.
4
Dental Extraction and Space Maintainer Usage
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This cross-sectional study was conducted in a university setting. The ethical clearance was obtained from the institutional review Board prior to the start of the study (sDC/sihEC/2020/DiAsDATA/0619-0320). Dental records of 3,000 children who had visited the department for extraction from June 2019 to April 2020 were retrospectively examined by a single examiner. healthy children aged between 3 to 10 years and only children of Dravidian origin were chosen for the study. The data were collected from an existing patient management software and details obtained from the patient records were as follows: 59 age and gender of the child, type and number of teeth lost and type of space maintainer indicated. statistical analysis: The data were tabulated into a spreadsheet (Excel 2017: microsoft office) and statistical analysis was done using SPSS software 17.0 version (sPss inc., Chicago, il, UsA). Descriptive statistics and Chi-square tests were performed to compare the obtained results.
5
Statistical Analysis of Survival Time
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The SPSS 17.0 version software was used for analysis of variance (t test), and paired comparison was done with SNK-q test. The mean survival time was compared by use of complete randomization design of multiple samples with the Kruskal-Wallis H test. The statistical significance was set at p < 0.05.
6
Smoking Initiation and Risk Factors
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Data analysis was done using SPSS 17.0 version software. Percentage and mean (standard deviation) were computed to describe characteristics of respondents. Hazard Ratio (HR) was computed to estimate risk of current smoking behaviour with independent variables (sex, faculty and perceived risk and benefits of smoking) using Cox Proportion Hazard Regression Models with constant time at risk [19 (link)]. Individual variables (Sex and faculty) were analyzed in bi-variate analysis. Then, age, sex and faculty associated with current smoking behaviour were considered as confounders and treated as controlling variables for Cox Proportional Hazard Regression Models. The Kaplan-Meier analysis was used to estimate the mean age of smoking initiation in male and female respondents. The confidence limit with 95 % CI was set to assess the proportion and hazard risks. P value < 0.05 was considered as statistically significant.
7
Obesity Metabolic Phenotyping in Mice
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Numerical values were presented as means ± SD. Student’s t-test was used to compare mean values between normal and obese mice. Multiple group comparisons were evaluated via one-way ANOVA followed by a Student-Newman-Keuls post hoc test. SPSS 17.0 version software was used for the statistical analysis. Statistical significance was defined as P < 0.05 and tests were performed two sides.
8
Cellular Response to Novel Compound
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All data are shown as mean ± standard deviation (SD). Statistical analysis was carried out using the SPSS17.0 version software (SPSS, Inc., Chicago, IL, USA). One-way analysis of variance (ANOVA) was used to analyze the significance among groups. Results were considered significantly different at P values less than 0.05.
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