The largest database of trusted experimental protocols

Pasw statistics version 19

Manufactured by IBM
Sourced in United States

PASW Statistics version 19.0 is a statistical software package designed for data analysis and management. It provides a comprehensive set of tools for organizing, analyzing, and presenting data. The software is suitable for a wide range of applications, including market research, scientific studies, and business analytics.

Automatically generated - may contain errors

8 protocols using pasw statistics version 19

1

Statistical Analysis of Survival Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were performed using PASW Statistics version 19 (IBM, Armonk, NY) and StatView Version 5 (SAS Institute, Cary, NC). Values were expressed as mean ± standard error. Survival data were analyzed by logrank test. All others were analyzed by Student’s t-test. A p<0.05 was considered statistically significant.
+ Open protocol
+ Expand
2

Investigating Depression Factors

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were entered and analyzed by using Statistical Package for Social Sciences (IBM PASW Statistics- version 19.0, Chicago) for windows. Data were expressed in terms of proportion or percentages. Univariate analysis was used to test the association between depression and variables. Multiple logistic regression analysis was carried out to look for the independent association of variables with the depression. The value of P < 0.05 was considered as statistically significant.
+ Open protocol
+ Expand
3

Statistical Analysis of Matched Pair Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were single entered using EpiData software version 3.1 and analysis was done using IBM PASW Statistics version 19.0 (SPSS, IBM Corp, Armonk, New York) and STATA statistical software version 11 (StataCorp LCC, Lakeway Drive College Station, Texas, USA). McNemer Chi-square test was used to find the significance of the association for binary variables. For categorical independent variables with more than two categories, conditional logistic regression for matched pair studies was used to find the significance of the association. Those independent variables with a P < 0.05 in the bivariate analysis were included in the multivariate analysis using conditional logistic regression to get the adjusted outcomes. The results were considered statistically significant if the P < 0.05.
+ Open protocol
+ Expand
4

Descriptive Statistics of Diabetes Cohort

Check if the same lab product or an alternative is used in the 5 most similar protocols
The descriptive statistics of categorical variables, such as gender, education level, and year of diabetes diagnosis, are expressed as the frequency and percentage for each category. Continuous variables such as age, BMI, number of OHAs currently being taken, and blood sugar control status (A1C%, fasting blood sugar, abbreviate as glucose AC) are expressed in terms of the mean ± standard deviation (SD). Statistical analysis was performed using PASW Statistics Version 19.0 (SPSS, Chicago, IL, USA).
+ Open protocol
+ Expand
5

Choriocapillaris Flow Void Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
We analyzed statistically by using PASW Statistics version 19.0 (SPSS, Chicago, IL). All values are presented as mean ± standard deviation. We used Chi-square tests to compare the sex ratio. Intergroup comparisons were performed using unpaired t-tests. Partial correlation was used for adjusting for age and sex. We used Pearson’s product moment correlation coefficient to evaluate the correlation of the flow void areas overlying the pachyvessel against the entire flow void area in the choriocapillaris. A p value of < 0.05 was considered statistically significant.
+ Open protocol
+ Expand
6

Cardiovascular Outcomes in Spondyloarthritis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive statistics are presented as number (percentage) or mean ± standard deviation (SD). For each cardiovascular outcome incidence rates, overall and stratified by sex, were calculated from the number of incident cardiovascular events and person-years at risk. To enable comparison between the cohorts, standardized rates were calculated, using the age and sex distribution in the GP cohort as standard. For the risk assessment age- and sex-adjusted hazard ratios (HRs) were calculated using Cox proportional hazard regression analyses. The largest SpA cohort – the PsA cohort – was used as the reference population in the comparison between the SpA cohorts. The proportional hazards assumption for the Cox regression analyses were evaluated graphically in survival curves and was considered fulfilled in all cases. Where applicable, 95% confidence intervals (CI) are reported. For incidence rates we have assumed a Poisson distribution when estimating 95% CI. Additionally, age- and sex-standardized prevalence and corresponding prevalence ratio (PR) with 95% CI for prior ACS, stroke, and VTE before start of follow-up were calculated for each SpA cohort, using the age and sex distribution in the GP cohort as standard/reference. Statistical analyses were performed by PASW Statistics version 19 (SPSS Inc., Chicago, IL, USA) and SAS Version 9.3 (SAS Institute Inc., Cary, NC, USA).
+ Open protocol
+ Expand
7

Student's t-test Statistical Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed using PASW Statistics version 19 (SPSS Inc, Chicago, IL, USA) with the level of statistical significance set at P < 0.05. Comparisons among two groups were performed by Student's t test.
+ Open protocol
+ Expand
8

Statistical analysis of phytotherapy effects

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were performed using PASW Statistics version 19 (SPSS Inc., USA)
with the level of statistical significance set at P<0.05. Comparisons between two
groups were performed by the Student t-test. Comparisons among three
groups were analyzed by one-way ANOVA followed by the Tukey HSD test for multiple
comparisons. Nonparametrical data were analyzed by the Kruskal-Wallis test followed
by the Dunnet T3 test for multiple comparisons among all groups. Two-way ANOVA (time
vs phytotherapy treatment) and the Tukey HSD post
hoc
analysis were used for the comparison of glucose levels in response
to ITT.
+ Open protocol
+ Expand

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

Sign up now

Revolutionizing how scientists
search and build protocols!