The ELISA cut-off point was chosen by using receiver operating characteristic (ROC) curve analysis, sensitivity versus 1-specificity or false positive. The SPSS version 18 was used as tool for ROC curve analysis. All data were further analyzed by using the Mann-Whitney U-test. The calculation was carried out on SPSS version 18 and a P-value < 0.05 was considered as significant. The accuracies of the diagnostic test, including sensitivity, specificity, and predictive values, were determined using the method of Parikh et al. [12 ] and SPSS version 18 and MedCal (free statistical calculators, diagnostic test evaluation calculator) were used at 95% CI. The ELISAs were analyzed by calculating the means and standard deviations (SD). A cut-off value at 0.543 was done by ROC curve analysis and the mean + 2SD. The AUC was 0.975.
Spss version 18
Manufactured by IBM
Sourced in United States, United Kingdom, Japan, Thailand, China, Italy, Germany
SPSS version 18.0 is a statistical software package developed by IBM. It provides data management, analysis, and reporting capabilities. The core function of SPSS is to assist in the analysis of data and presentation of results.
Automatically generated - may contain errors
Lab products found in correlation
Prism 5, by GraphPad (39 mentions)
Sas version 9, by SAS Institute (18 mentions)
Sas 9, by SAS Institute (13 mentions)
Prism 6, by GraphPad (10 mentions)
R version 3, by R Project for Statistical Computing (9 mentions)
Prism 8, by GraphPad (7 mentions)
Prism version 5, by GraphPad (6 mentions)
Excel 2010, by IBM (6 mentions)
Prism 7, by GraphPad (5 mentions)
Prism software, by GraphPad (5 mentions)
Stata version 11, by StataCorp (4 mentions)
Version 15, by MedCalc (4 mentions)
Matlab, by MathWorks (3 mentions)
Statistical analysis system, by SAS Institute (3 mentions)
Stata, by StataCorp (3 mentions)
Stata version 12, by StataCorp (3 mentions)
Prism v5, by GraphPad (3 mentions)
R version 4, by R Project for Statistical Computing (3 mentions)
R software, by R Project for Statistical Computing (2 mentions)
Minitab version 16, by IBM (2 mentions)
3 439 protocols using spss version 18
1
ELISA Diagnostic Test Evaluation
2
Statistical Analysis of Experimental Drug Trials
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Information for each group was coded as 1, 2 and 3, and the recorded in the checklist for each drug or placebo, followed by statistical analysis through the SPSS version 18 software. Data analysis Information for each of the 3 groups, coded 1, 2 and 3, was recorded in the checklist for each drug or placebo, and then entered the SPSS version 18 software. Using the Kolmogorov-Smirnov test, the data were analysed for normal distribution. Depending on the distribution of data and quantitative or qualitative values, quantitative data such as age were analysed using one-way ANOVA test regarding their normalisation, while Non-parametric Kruskal-Wallis H test was used for data with skewed distribution. If parametric or parametric tests showed significant values, Dunn’s multiple comparisons test and Tukey tests were employed to compare the groups. Chi-square test was applied to evaluate the qualitative variables. Regarding the lack of time assessment, repeated tests such as repeated measures ANOVA were not used. In all tests, a significant level of 0.05 was considered.
3
Validating Research Model Using SEM
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The data were analyzed using Structural Equation Modeling in SPSS version 18.0 (SPSS Inc., Chicago, IL, USA) to validate the research model. We conducted frequency analysis to measure the demographic characteristics. We used the t test and analysis of variance to compare mean differences for sharing intention, knowledge sharing behavior, and innovation behavior according to the demographic characteristics. Finally, we used confirmatory analysis and completed maximum likelihood estimation using Analysis of Moment Structure (AMOS) in SPSS version 18.0 (SPSS Inc., Chicago, IL, USA). Fit indices indicated χ², Normal Fit Index (NFI),Tucker–Lewis Index (TLI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA). To improve the fit of the model, modification indices were used.
4
Correlation of Heat Stress Biomarkers
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The data was analysed by one- way analysis of variance (ANOVA) SPSS (version 18.0) software. The changes in relative expression of all targeted genes in skeletal muscle in relation to HPRT and GAPDH as the house keeping genes were analyzed by t-test. Further, the correlation coefficient between the THI and all carcass traits and gene expression patterns were established by Pearson’s correlation coefficient test using SPSS (version 18.0) software. The R2 values were used to establish the correlation association between THI and various carcass traits. Results are shown as mean ± standard error (SE) and the significance level was set at P < 0.05.
5
Analysis of Embryo Development Data
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Data, including the fertilization rate, relative embryo weight (embryo weight/egg weight), relative yolk weight (yolk weight/egg weight or hatching body weight), hatching body weight, mortality, and the hatchability of fertile eggs, were analyzed with Student’s t-test using SPSS version 18.0 (Statistical Package for the Social Sciences, SPSS Inc.; Chicago, IL, USA). The results of RT-qPCR are expressed as the means ±SEM of the eight samples for each turning angle group, which were analyzed with Student’s t-tests using SPSS version 18.0 (Statistical Package for the Social Sciences, SPSS Inc.; Chicago, IL, USA). Differences were considered significant at p < 0.05.
6
Dosimetric Comparison of Preoperative and Postoperative Brachytherapy
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Application of SPSS version 18.0 was used for statistical analysis and the data was presented as the means ± standard deviations. P < 0.05 was considered statistically significant. Comparisons of the dosimetric parameters between post-operative verification and preoperative plans were made using a paired t-test, and dose parameters included D90, V100, and V200. One-way ANOVA was applied to assess the differences in preoperative plans, and in the TRUS-based and CT-based dosimetry. Data was normally distributed when t-test and ANOVA was performed in SPSS. An agreement was evaluated between the preoperative planning and post-operative actual dose parameters using Bland-Altman analysis. The analysis was also carried out using SPSS version 18.0.
7
Statistical Analysis of Experimental Data
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SPSS version 18.0 (SPSS Inc., Chicago, IL) was used for statistical analysis. Values are presented as mean ± SD. Statistical differences between the groups were assessed by one-way ANOVA with SPSS version 18.0 software. Difference was considered to be statistically significant if p<.05.
8
Genetic Polymorphisms and Neuropsychiatric Symptoms in Alzheimer's Disease
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Analysis of the genotype frequencies and Hardy-Weinberg equilibrium (HWE) was performed using SNPStats (http://bioinfo.iconcologia.net/snpstats/start.htm ) and SPSS version 18.0 (IBM, Armonk, NY, USA). Multiple logistic regression models were built to analyze genetic data: co-dominant 1 (major allele homozygotes vs. heterozygotes), co-dominant 2 (major allele homozygotes vs. minor allele homozygotes), dominant (major allele homozygotes vs. heterozygotes and minor allele homozygotes), and recessive (major allele homozygotes and heterozygotes vs. minor allele homozygotes). The scores (frequency x severity) of twelve NPI items in the AD patients were compared with the genetic polymorphisms using Kruskal-Wallis tests (for the co-dominant model) and Mann-Whitney U tests (for the dominant and recessive model) using SPSS version 18.0. Bonferroni correction was applied by lowering the significance level of p values to 0.016 (=0.05/3) to avoid chance findings due to multiple testing.
9
Survival Analysis of Cancer Treatments
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Statistical analysis was performed using SPSS® (version 18.0) software (SPSS, Chicago, IL, USA) and R 2.13.2. A significance level of p < 0.05 was used for all analyses and all p values reported are two-tailed. The Kaplan–Meier method and the log rank test was used to assess differences in survival between groups. Survival time was measured from the date of first treatment to the date of death or last follow-up. Independent variables were entered into a multivariable Cox proportional hazards model, variables found at univariable analysis to have a p value < 0.05 were entered into the multivariable model. Continuous variables were compared using unpaired t-tests. Association of categorical variables was assessed using χ2 test.
Wilcoxon rank test was utilized to compare checkpoint, cytokine, and markers of angiogenesis expression between the lymph node and the tumour compartment.
Wilcoxon rank test was utilized to compare checkpoint, cytokine, and markers of angiogenesis expression between the lymph node and the tumour compartment.
10
Evaluating Non-Inferiority of HbA1c in Diabetes Intervention
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The study was non-blinded, and all analyses were completed by an independent statistician using SPSS version 18.0 software (SPSS Inc., Chicago, IL, USA). The a priori power calculations for sample size were previously described [30 (link)]. A paired Student’s t-test was used when comparing pre- and post-intervention changes within each intervention group. Analysis of covariance was used to test for differences between the treatment groups after adjusting for baseline values. Effects of changes in body composition in relation to FBG and HbA1c were identified using Pearson’s correlation analysis and multivariate logistic regression. The non-inferiority margin of 0.30% in HbA1c was selected based on previous guidance [31 ], and was considered clinically significant if the upper limit of the 95% confidence interval (CI) of the treatment difference was less than or equal to 0.3% points [32 (link)]. The data are expressed as means ± standard errors (SE). Statistical significance was defined as P < 0.05.
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