Data analysis was performed using SPSS software for Windows version 17.0 (SPSS Inc., Chicago, IL). Categorical data were analyzed using Chi-Square test; however, Fisher’s exact test was used in cases where more than 20% of the cells had expected cell values of less than 5 or if the expected value in any cell of the contingency table was less than 1. In case of continuous variables, normality of the data was checked using Kolmogorov–Smirnov test and quantile–quantile plots. For normally distributed scale data, independent-sample t test was used to compare the means between the two groups. All P-values were two-sided and were considered statistically significant when less than 0.05. The sample size was calculated using literature reported incidence of free-floating capsulotomies achieved with LenSx laser (average 88.4%)2 (link),18 (link)–20 (link) and Ziemer Z8 laser (average 98.7%)21 (link),22 (link). Using these reported values for the two lasers, sample size calculations were performed with two-sided alpha of 0.05 and 80% power which revealed a total sample size of 190 (95 in each group). Accordingly, we chose a sample size of 100 in each group.
Spss software for windows version 17
Manufactured by IBM
Sourced in United States
SPSS software for Windows, version 17.0, is a statistical analysis software package developed by IBM. It provides tools for data management, analysis, and presentation. The core function of this software is to enable users to perform statistical analyses on data.
Automatically generated - may contain errors
89 protocols using spss software for windows version 17
1
Femtosecond Laser Capsulotomy Outcomes
2
Factors Influencing Recurrent CBD Stones
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis was performed using SPSS software for Windows version 17.0 (SPSS Inc., Chicago, IL, USA). The chi-squared test and Student’s t test were performed to identify significant differences in the baseline characteristics, rate of recurrence of CBD stones, post-procedural cholangitis, procedure duration, and rate of complications. To identify factors independently associated with the recurrence of CBD stones, multivariate regression analysis was performed using significantly or clinically associated factors identified in univariate analyses. A value of p < 0.05 was considered indicative of statistical significance.
3
Comprehensive Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All the investigations were performed in triplicate and results were expressed as means of three different experiments ± standard deviation (S.D.). They were processed by analysis of variance (ANOVA). Differences among the samples were analyzed by Turkey’s test using SPSS statistics software (version 17.0, SPSS Inc., Chicago, IL, USA). All the p values at < 0.05 were observed as significant.
Principal Component Analysis (PCA) was applied using SPSS software for Windows, version 17.0 (SPSS Inc., Chicago, IL, USA).
Principal Component Analysis (PCA) was applied using SPSS software for Windows, version 17.0 (SPSS Inc., Chicago, IL, USA).
4
Serum Hormone Levels and HIV Outcomes
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Continuous normal variables were represented as “median (interquartile range),” and categorical variables were expressed as a percentage of the number of cases. HIV-RNA levels (copies/mL) were log10-transformed into variables (log10 copies/mL). Mean values of these continuous variables were compared using the Student t test for data that distributed normally. Otherwise, the Mann–Whitney U test was used. Proportions related to the categorical variables were compared using the chi-squared test, although Fisher exact test was used when the data were sparse. Pearson correlation was used to evaluate the relationship between CD4+ T cell counts or HIV-RNA load and serum hormone concentrations. The Student t test or the Mann–Whitney U test was used to analyze the association between serum hormone concentrations and clinical WHO stage 4 categorization. The Kaplan–Meier method and the multivariate Cox proportional hazard model were employed to identify predictors of immunological failure and mortality. Data with a P value <0.1 and that lacked collinearity were entered into the multivariate Cox proportional hazard model. The hazard ratio (HR) was computed with a 95% confidence interval (CI), and P values <0.05 were considered to be statistically significant for all cases. All analyses were performed by using SPSS software for Windows version 17.0 (Chicago, IL).
5
Statistical Analysis of Continuous and Categorical Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were performed using SPSS software for Windows, version 17.0 (SPSS Inc., Chicago, IL, USA). Continuous variables are presented as mean ± SD and categorical variables are presented as proportions and percentages. Student’s t-test was used to compare continuous variables, and χ2-test of independence was used to compare categorical variables. Multivariate logistic regression analysis and Spearman’s correlation coefficient test were also conducted. A two-sided P-value < 0.05 was considered to be statistically significant.
6
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All data were sorted and analysed using SPSS software for Windows, version 17.0 (SPSS, Inc.). The results are expressed as the mean ± SD. Significance was evaluated by performing Student's t-tests or one-way analysis of variance (ANOVA) with Tukey's post hoc test. A P-value <0.05 was considered to indicate a statistically significant difference.
7
Correlation Analysis of Research Findings
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data analysis was performed using SPSS software for Windows, version 17.0 (SPSS Inc., Chicago, IL, USA). Pearson’s coefficients (r values) were determined for all correlation pairs. The strength of correlation was graded as follows: r=0: no correlation; 0<r<0.2: very weak correlation; 0.2≤r<0.4: weak correlation; 0.4≤r<0.6: moderately strong correlation; 0.6≤r<0.8: strong correlation; 0.8≤r<1: very strong correlation; r=1: perfect correlation. A P-value of <0.05 was considered statistically significant.
8
Evaluating Novel VTP Treatment
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The study sample size was based on a power analysis of the primary study end points and the null hypothesis that the single VTP treatment would be non-inferior to the 3-month daily dose of doxycycline (power 80%, alpha =0.05).
Data analysis was performed using SPSS software for Windows version 17.0 (SPSS Inc., Chicago, IL, USA). The data were examined for outliers using outlier labeling method with a multiplier of 2.2, and one outlier was removed from the analysis of SPEED scores of the VTP treatment group. The normality of data was checked using Shapiro–Wilk test, and a threshold of <0.05 was considered significant. For normally distributed data, independent t-test and paired t-test were used for comparison between the groups and within the group, respectively; otherwise, their nonparametric counterparts, ie, Mann–Whitney U test and Wilcoxon signed-rank test had been used. A p-value of <0.05 was considered statistically significant.
Data analysis was performed using SPSS software for Windows version 17.0 (SPSS Inc., Chicago, IL, USA). The data were examined for outliers using outlier labeling method with a multiplier of 2.2, and one outlier was removed from the analysis of SPEED scores of the VTP treatment group. The normality of data was checked using Shapiro–Wilk test, and a threshold of <0.05 was considered significant. For normally distributed data, independent t-test and paired t-test were used for comparison between the groups and within the group, respectively; otherwise, their nonparametric counterparts, ie, Mann–Whitney U test and Wilcoxon signed-rank test had been used. A p-value of <0.05 was considered statistically significant.
9
Primer Specificity Evaluation Using Gene Runner
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
In this research, specificity of the primer pairs was evaluated by using Gene Runner software (Hastings Software, Hastings-on-Hudson, NY, USA). SPSS software for Windows, version 17.0 (SPSS Inc., Chicago, IL), was used for statistical analysis.
10
Statistical Analysis of Continuous and Categorical Variables
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Continuous variables were summarized as median (the inter‐quartile range):M(P25,P75) and categorical variables as frequency (percentage). Comparisons between groups were performed using the Kruskal‐Wallis H test for continuous variables, and the χ2 test for categorical data. Spearman's rank correlation was used for correlation analysis. Comparisons between different groups were performed using analysis of variance. All P values were based on a two‐sided test of statistical significance. Significance was accepted at P < 0.05. All analyses were performed with SPSS software for windows, version 17.0 (SPSS Inc., Chicago, IL, USA).
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!