The largest database of trusted experimental protocols

Statview version 5.0

Manufactured by Abacus
Sourced in United States

StatView version 5.0 is a data analysis software application. It provides functionality for statistical analysis, data manipulation, and graphical representation of research data.

Automatically generated - may contain errors

19 protocols using Statview version 5.0

This is a retrospective single-center study of brain metastases histologically confirmed after biopsy/resection of the brain metastasis. Primary tumor origin, patient’s age and performance status at brain metastasis diagnosis, brain metastasis histological type, brain metastasis localization, size, multiplicity, and interval from primary cancer diagnosis, treatment and survival after brain metastasis diagnosis were recorded. Comité d’Ethique du CHU de Saint-Etienne and Commission recherche de Terre d’éthique approved the study (IRBN502017/CHUSTE, approval date: 28 September 2017).
Statistical analysis was performed using the StatView(Version 5) software (Abacus Concepts, Berkeley CA, USA). We used factorial analysis of variances (ANOVA) and the Mann-Whitney U test to consider the effect of at least one factor on a continuous parameter and the Fisher’s exact test to explore any relationship between two groups for categorical data. For all analyses, statistical significance was set at a p value of <0.05. Survival probability was estimated by Kaplan-Meier analysis with log-rank product limit estimation.
+ Open protocol
+ Expand
All statistical analyses were performed with Epi-info version 5 and Statview version 5 (Abacus Concepts, Berkeley, CA, USA). Data (normally distributed) are presented as mean ± standard deviation (SD). Student’s t-test and one-way ANOVA were used for the comparison between the CKD Black versus CKD White groups for the same dose of vitamin D supplementation: D2W versus D2B and D60W versus D60B, mainly to analyze the relationship between vitamin D deficiency in CKD Black and White groups. Pearson’s correlation analysis was performed to quantify associations between the each dose effects of vitamin D supplementation and pro-inflammatory cytokines profile, oxidative stress status, atherogenicity biomarkers and MetS clusters. Multiple logistic regressions were used to assess the association between the 25OHD-S effects and the biological parameters in this study with their 95% confidence intervals. This analysis was performed using Epi-info and Statview software(Version 7.2, Microsoft Windows 7, Wake County, NC, USA). The results were considered significant at * p < 0.05, very significant at ** p < 0.01 or highly significant at *** p < 0.001.
+ Open protocol
+ Expand
Statistical analyses were performed using the StatView version 5 statistical software program (Abacus Concepts, Berkeley, USA) and EZR (Saitama Medical Center, Jichi Medical University, Japan), which is based on R and R commander (20 (link)). All variables were expressed as means ± standard deviation. The statistical significance of intergroup differences was assessed using Fisher's exact test for categorical variables and the Mann-Whitney U test and Kruskal-Wallis U test for continuous variables. Multivariate logistic regression analyses were performed to explore relationships between serum alkaline phosphatase levels and cryptogenic stroke with active cancer using the age, sex, and serum D-dimer levels, which have been considered strong predictive factors for cryptogenic stroke associated with cancer. Cut-off values for continuous variables were determined using the area under the receiver operating characteristic (ROC) curve. p values <0.05 were considered statistically significant.
This study was approved by the Ethics Committee of Nara Medical University School of Medicine, who waived the need for informed consent given that our study design carried minimal risk.
+ Open protocol
+ Expand
All statistical analyses were performed with Epi-info version 5 and Statview version 5 (Abacus Concepts, Berkeley, USA). Student’s t-test and one-way ANOVA were used for the comparison both between the 03 groups (D, H, and DH) and with the control group, mainly to determine the severity of CVD in the DH group. Pearson’s correlation (coefficient (r)) analysis was performed to quantify associations between CMS clusters and the other study parameters, in particular the fatty acids ratio and atherogenicity biomarkers between D and DH groups versus control group. The results were considered significant at * p < 0.05, very significant at ** p < 0.01, or highly significant at *** p < 0.001. The data of FFQ were analyzed using the computer program SPSS version 11 (SPSS Inc., Applications Guide, Chicago, IL, USA). Statistical methods for validation of FFQ include the Student’s t-test, Pearson correlation, and the kappa statistic [26 (link)].
+ Open protocol
+ Expand
Continuous data are presented as means ± standard deviation, while non-parametric data are presented as the median (interquartile range 25–75 percentile). Differences among groups were evaluated using one-way analysis of variance (ANOVA) with post-hoc Fisher’s PLSD test. Categorical data are expressed as incidences and percentages, and comparisons were made using the χ2-test. Multiple regression analysis was performed with REs as the dependent variable; age, gender, handgrip strength as an indicator of physical function, FOIS at admission as an indicator of swallowing status, GNRI as an indicator of nutrition status, provided rehabilitation time as an indicator of rehabilitation, and variables that had a significant correlation in the univariate regression analysis of REs were selected as independent variables. FIM scores and serum albumin levels were excluded because they closely correlated with REs or GNRI, respectively. In addition, analysis of covariance (ANCOVA) model was estimated to examine the difference in REs by BNP levels, controlling foe age and sex. P values < 0.05 were considered statistically significant. Statistical analyses were performed using STATVIEW version 5 (Abacus Concepts, Berkeley, CA).
+ Open protocol
+ Expand
All statistical analyses were performed with Epi-info version 5 and Statview version 5 (Abacus Concepts, Berkeley, CA). Data (normally distributed) are presented as mean ± standard deviation (SD). Student’s t-test and one-way ANOVA were used for the comparison between the CKD Black versus CKD White groups for the same dose of vitamin D supplementation: D2W versus D2B and D60W versus D60B, mainly to analyze the relationship between vitamin D deficiency in CKD Black and White groups and severity of CVD in both groups, essentially NT-proBNP and RAAS biomarkers. Pearson’s correlation analysis was performed to quantify associations between the each dose effects of vitamin D supplementation and CMet or CRenal clusters, eGRF, PTH, and atherogenicity biomarkers. The results were considered significant at *p < 0.05, very significant at **p < 0.01, or highly significant at ***p < 0.001.
+ Open protocol
+ Expand
Continuous data are presented as means ± standard deviation, while non-parametric data are presented as the median (interquartile range 25e75 percentile). Differences among groups were evaluated using one-way analysis of variance (ANOVA) with posthoc Fisher's PLSD test, and differences in REs among groups were evaluated using analysis of covariance (ANCONA) adjusted for age. Categorical data are expressed as incidences and percentages, and comparisons were made using the c 2 -test. Multiple regression analysis was performed with REs as the dependent variable; age, gender, and handgrip strength as indicators of physical function; energy intake as an indicator of nutritional intake; GNRI as an indicator of nutrition status; and BNP as an indicator of heart failure. Variables showing a significant correlation in the univariate regression analysis of REs were selected as independent variables. FIM score, serum albumin level and BMI were excluded from the independent variables to avoid the effect of multicollinearity with RE or GNRI. Values of P < 0.05 were considered statistically significant. Statistical analyses were performed using STATVIEW version 5 (Abacus Concepts, Berkeley, CA).
+ Open protocol
+ Expand
All data are presented as mean ± SEM and were evaluated for statistical significance using Statview version 5.0 software (Abacus Concepts Inc, Berkeley, USA). Normal distribution was verified using Kolmogorov–Smirnov test. Data for BP, GFR and proteinuria were analysed using 2 way ANOVA testing groups, postnatal age and groups × postnatal age interaction with Bonferoni post hoc analysis when appropriate. Body weight, renal structure parameters were compared between groups using one-way ANOVA with Student–Newman–Keuls comparison test for post hoc analysis. Male and female offspring were analysed separately. The interaction between group and sex was firstly evaluated and showed a sex effect for body weight, BP, parameter of renal functions and structure. A p value <0.05 was considered statistically significant.
+ Open protocol
+ Expand
A one-way analysis of variance was performed (StatView Version 5.0, Abacus Concepts, Inc., Berkeley, CA) for the inter-group comparisons. Statistically significant variables were compared by Fisher’s protected least significance test. Statistical significance was set at P < 0.05.
+ Open protocol
+ Expand
Statistical analysis of group differences was performed using the χ2 test. A value of P < 0.05 was considered to be significant. Actuarial survival curves were estimated using the Kaplan–Meier method, and differences in survival between subgroups were compared with the log-rank test and Wilcoxon test. Multivariate analysis was performed using Cox-hazard model analysis. A p value of < 0.05 was considered to be significant. All p-values are two-sided in this study. All statistical analyses were performed using the software package StatView™ version 5.0 (Abacus Concepts, Berkeley, CA, US).
+ 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!