Results were analyzed using IBM SPSS Statistics version 22.0 for Windows (IBM Corp., Armonk, NY, USA). Differences in diagnosis according to CD4+T cell counts were assessed using chi-square test and Fisher exact test. The relationship between drugs used and folliculitis was determined by logistic regression analysis. Statistical significance was considered when p-value was less than 0.05.
Spss statistics version 22.0 for windows
Manufactured by IBM
Sourced in United States
SPSS Statistics version 22.0 for Windows is a data analysis software that provides tools for statistical analysis, data management, and presentation. It offers a wide range of statistical procedures, including descriptive statistics, bivariate analysis, and multivariate analysis. The software is designed to help users analyze and interpret data effectively.
Automatically generated - may contain errors
47 protocols using spss statistics version 22.0 for windows
1
Diagnosis and Folliculitis Risk Factors
2
Breast Pathology Epidemiology and Risk Factors
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data was analyzed using IBM SPSS Statistics version 22.0 for Windows (Chicago, Illinois, USA). A descriptive analysis was performed to characterize the study population demographics, medical history, diagnostic investigations, histopathological diagnosis and surgical interventions. Categorical variables are expressed as n (%) while age, the only continuous variable is expressed as mean ± standard deviation. We constructed binary logistic regression models to determine factors associated with the four most frequently occurring histopathological diagnoses in our study, namely´ fibroadenoma, invasive ductal/lobular/papillary carcinoma, hyperplasia (ductal/lobular), and lobular carcinoma in situ. Statistical analyses were two-tailed and set at a confidence interval of 95%.
3
Assessing Factors Influencing Graft Exposure
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical assessment was done using IBM SPSS® Statistics version 22.0 for Windows. Level of significance was set to p < 0.05. Data presentation was performed by using JMP® 10.0 statistical software (SAS Institute, Cary, NC, USA). Grafting success, exposure rate and impact of such factors as Vacuum form splint, A-PRF® and flap design on the exposure rate.
For secondary outcome parameters possible risk factors (defect regions, defect and mesh sizes, smoking, tissue phenotype (thin and fragile phenotype, thick phenotype [25 (link)]), diabetes) for developing an exposure were defined. Statistical analyses were performed using Chi-Quadrat-Test and Fisher’s Exact-Test as appropriate for qualitative parameters, T-Test or Mann-Whitney-U-Test for quantitative parameters.
For secondary outcome parameters possible risk factors (defect regions, defect and mesh sizes, smoking, tissue phenotype (thin and fragile phenotype, thick phenotype [25 (link)]), diabetes) for developing an exposure were defined. Statistical analyses were performed using Chi-Quadrat-Test and Fisher’s Exact-Test as appropriate for qualitative parameters, T-Test or Mann-Whitney-U-Test for quantitative parameters.
4
Pharmacokinetic Modeling and Statistical Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Continuous data were shown as the median and range or mean ± standard deviation. Independent continuous data were compared using the unpaired t-test. Spearman’s correlation was used to evaluate the correlation between two continuous variables. Stepwise multiple linear regression analysis was performed to create a formula for predicting the Cmax. A P-value less than 0.05 was considered statistically significant. All statistical analyses were performed using the software IBM SPSS Statistics version 22.0 for Windows.
5
Exploring Family-Centered Health Care via Telephone
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Because a model and theory existed prior to collecting data, a deductive approach (Elo & Kyngäs, 2008 (link); Hsieh & Shannon, 2005 (link)) was used for the manifest qualitative content analysis. The intention was to explore the model of FamHC in a different context; conducted by telephone instead of face-to-face contact (Hsieh & Shannon, 2005 (link)). The data were searched for specific issues or categories related to the model and the theory. The coding framework consisted of predefined categories corresponding to the questions in the interview guide (see Table 3 ). First, the transcripts of the interviews were read through to get a sense of the text as a whole, and the sections with the families’ and RNs’ experiences of FamHCs were highlighted. The highlighted text was then coded and placed into the predefined categories of the coding framework. Data that could not be coded within the predefined categories were sorted into new categories (Hsieh & Shannon, 2005 (link)). Each step of the analysis was discussed by the authors until consensus was achieved. Quantitative data were analyzed with descriptive statistics using IBM SPSS Statistics, version 22.0 for Windows.
6
RCT Statistical Analysis Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The statistical package IBM SPSS Statistics version 22.0 for Windows will be used for data analyses. Baseline differences between groups will be explored for continuous and categorical measures using both t-tests and chi-square tests. Repeated-measures ANOVAs will be used to assess within-group changes over time in primary and secondary outcome measures. Effect sizes will be estimated using Cohen’s d. Linear regression models will be used to study the effect of different variables (e.g., gender, age, and treatment expectations) on adherence and response to the intervention. Any participants who do not complete the post-intervention assessment will be considered drop-outs. On the other hand, the number of times each patient uses the program will be used as the measure of adherence.
Before analyzing the data, a review of state-of-the-art analytic methodology for RCT will be carried out in order to ensure the use of the most suitable statistical analyses. Finally, following SPIRIT and CONSORT guideline recommendations, both intention-to-treat and per-protocol analyses will be reported [34 (link), 36 (link)].
Before analyzing the data, a review of state-of-the-art analytic methodology for RCT will be carried out in order to ensure the use of the most suitable statistical analyses. Finally, following SPIRIT and CONSORT guideline recommendations, both intention-to-treat and per-protocol analyses will be reported [34 (link), 36 (link)].
7
Survival Analysis Comparing Older and Younger Patients
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Categorical variables were compared using the χ2 or Fisher exact test, whereas continuous variables were compared using the Mann–Whitney U test. Survival curves of the two study groups were constructed using the Kaplan–Meier method, and the survival curves were compared using the log-rank test. To identify factors independently associated with OS and DFS, univariate analysis was carried out using a Cox proportional hazards stepwise model; the significant (P < 0.05) variables were then subjected to stepwise multivariate analysis. To overcome possible selection bias, 1 : 1 PSM between the old group and young group was applied using the nearest-neighbour matching method with a caliper of 0.02 [18 (link)]. All analyses were performed using SPSS Statistics version 22.0 for Windows (IBM Corp).
8
Statistical Analysis of Conversational Dynamics
9
Statistical Analyses with SPSS
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed using IBM SPSS Statistics version 22.0 for Windows.
10
Cardiovascular Impact of Stress Sensitivity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were carried out with IBM SPSS Statistics version 22.0 for Windows (Chicago, SPSS, Inc.). Pairwise comparisons were calculated with T-tests, Mann–Whitney U-tests or chi-square tests as appropriate. To test for differences in blood pressure and HRV, analysis of variance (ANOVA) for repeated measures using time (baseline, experiment, and recovery) as the repeated factor and group (high SSS or low SSS) as the between-group factor were calculated. Significant time × group interactions were followed with pairwise comparisons. Since household net income, sex, age, body mass index (BMI), and smoking status have been shown to be associated with cardiovascular processes (Omvik, 1996 (link); Franklin et al., 1997 (link); Franklin, 1999 (link); Kuo et al., 1999 (link); Fagard, 2001 (link); Sapolsky, 2004 ; Faheem et al., 2010 (link); Thayer et al., 2010 (link)), analyses were adjusted for these variables.
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!