The experimental results were analyzed by one-way analysis of variance (ANOVA) and a Dunnett post-hoc test using the SPSS statistical software package version 19.0 (SPSS Inc., Chicago, IL, USA). All results were examined based on at least three independent experiments. A p value of <0.05 was considered significant.
Spss statistical software package version 19
Manufactured by IBM
Sourced in United States
SPSS is a statistical software package developed by IBM. Version 19.0 provides data management, analysis, and presentation capabilities. The software allows users to perform a variety of statistical procedures, including regression analysis, correlations, and non-parametric tests.
Automatically generated - may contain errors
Lab products found in correlation
23 protocols using spss statistical software package version 19
1
ANOVA Analysis of Experimental Results
2
Statistical Analysis of Primary MN
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Student’s t test for normally distributed data, or nonparametric test (Mann–Whitney U test) for non-normally distributed data was used for the differences of quantitative parameters between groups. Correlations were analyzed by Pearson’s correlation test (between two normally distributed variables) or Spearman’s correlation test (between two non-normally distributed variables). Risk factors for no-remission in primary MN patients were analyzed using Logistic regression model. Results were expressed as odds ratio (OR) and 95% confidence interval (CI). Risk factors for renal outcomes were analyzed using a Cox regression model. Results were expressed as hazard ratios (HR) and 95% CI. All statistical analyses were two-tailed and differences of P < 0.05 were considered significant. Analysis was performed with SPSS statistical software package, version 19.0 (SPSS Inc., Chicago, IL, USA).
3
Survival Analysis of Oncology Patients
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Overall survival (OS) was defined as the time from the date of diagnosis to death from any cause or to the date of last follow-up. Event-free survival (EFS) was calculated from the date of diagnosis to that of relapse, disease progression, death from any cause, or last follow-up. OS and EFS were estimated using the Kaplan-Meier method and were compared using the log-rank test. Multivariate analyses were carried out using the Cox proportional hazards model. A two-sided P-value of less than 0.05 was considered statistically significant. All analyses were performed using SPSS statistical software package, version 19.0 (SPSS Inc., Chicago, IL, USA).
4
Palliative Radiotherapy Survival Patterns
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Time to death was calculated from last course of palliative RT. This time interval (in weeks) was categorized into three groups :< 2, and 2–4, and > 4 weeks. Association between these categories and the variables was analyzed through descriptive statistics, and chi-square test. Subsequently, univariable and multivariable linear regression analyses were performed to assess these associations. P values were two-sided, and values less than .05 were considered statistically significant. Analyses were conducted using the SPSS statistical software package, version 19.0 (Chicago, IL).
5
Brine Shrimp Lethality Assay
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The assay was performed according to Meyer et al. [12 ] with modifications. Cysts of Artemia salina L. (200 mg) were incubated in 400 ml artificial sea water (38 g marine salts dissolved in 1000 ml purified water). The system was kept under constant stirring and aeration at 30 °C for 48 h for hatching. After hatching, 10 nauplii of A. saline were transferred to tubes containing different concentrations of the substances for evaluation (HE, EAE, CHLE, EE in concentrations: 10 μg/ml; 100 μ/ml and 1000 μg/ml), which were solubilized in artificial sea water with 0.5% Tween® 80 (m/v) added. Quinidine sulfate was used as a positive control at the same concentrations as the samples, and artificial sea water containing 0.5% Tween® 80 (m/v) was used as a negative control. After 24 h, the live and dead nauplii were counted. Live larvae were counted, transformed into percentage mortality, and corrected according to the Abbott’s formula [12 ]:
The Probit method [12 ] was used to determine the LC50 and LC90 values, as well as the corresponding 95% confidence intervals and chi square values for the assays with A. salina, using the SPSS Statistical Software Package version 19.0.
The Probit method [12 ] was used to determine the LC50 and LC90 values, as well as the corresponding 95% confidence intervals and chi square values for the assays with A. salina, using the SPSS Statistical Software Package version 19.0.
6
Multidrug Resistance Genes and CLR Susceptibility
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All statistical analyses were conducted with SPSS statistical software package version 19.0 (SPSS Inc., Chicago, IL, USA). The relationships between variations of multidrug resistance genes and CLR resistance/susceptibility were investigated by Student’s t-test. A P value ≤ 0.05 was considered statistically significant.
7
Antibiotic Resistance Trends Analysis
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Statistical analyses were carried out using SPSS statistical software package version 19.0 (SPSS Inc., Chicago, IL, USA). The outcome variables were described as frequency counts and were presented as rates (%) of single and combined resistance to three antibiotics. Differences in resistance rates between different gender, age, years, time periods and antibiotic resistance groups were analyzed with a chi-squared test. Linear regression model was used to assess changes in rate over time. A P value < 0.05 was considered statistically significant.
8
Antibiotic Resistance Profiling of H. pylori
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All statistical analyses were performed using SPSS statistical software package version 19.0 (SPSS Inc, Chicago, IL, USA). Antibiotic resistance rates of H. pylori isolates were expressed as frequencies and percentages. Categorical variables were compared using the Fisher’s exact test or χ2 test. Multivariable logistic regression was used to examine the possible predictors of antibiotic resistance of H. pylori and variables who were screened out from the univariate regression analysis with p value < 0.20 were included in this model. Differences with a two-tailed p value < 0.05 were considered statistically significant.
9
Comparing ALN Metastatic Burden in SLNB and FNA
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Two sample t test, chi square, or two-tailed Fisher’s exact test were used to compare patient characteristics and ALN metastatic burden between the FNA group and the SLNB group and to compare patient characteristics between patients with 1–2 and ≥ 3 ALN metastasis. Binary logistic regression analysis was used to adjust patient characteristics for comparison of ALN metastatic burden between the two groups as well as factors associated with ≥ 3 ALN metastasis. The SPSS statistical software package, version 19.0 (SPSS, Chicago, IL, USA), was used for analysis, and a two-sided P value less than 0.05 was considered to be statistically significant.
10
Genetic Factors and H. pylori Infection
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Discrete variables were tested using the chi-square test and Fisher’s exact probability test (average age and sex ratio vs. diagnosis, relationship between genotypes); The difference of histologic score between genotypes were tested using the Mann-Whitney U test. A multivariate logistic regression model was used to calculate the OR and 95% CI of the clinical presentations including age, sex, and H. pylori genotype. All determinants with P-values of less than 0.10 were combined in the full model for the logistic regression, and the model was reduced by excluding variables with P-values of greater than 0.10. A P-value of < 0.05 was accepted as statistically significant. SPSS statistical software package version 19.0 (SPSS, Inc., Chicago, IL, USA) was used for all statistical analyses.
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