Statistical analysis was performed with the International Business Machines Corporation (IBM) Statistical Package for the Social Sciences (SPSS) program [48 ]. Data for continuous variables are presented as mean ± standard deviation. Continuous variables were compared between the active and placebo groups using independent samples student’s t-test and comparisons between baseline and end of intervention were performed with paired samples t-test for each group. To investigate the difference in the mean change of relevant parameters between groups, multiple general linear regression (ANCOVA) was performed adjusting for antidiabetic medication. p < 0.05 was considered statistically significant.
Statistical package for the social sciences spss program
Manufactured by IBM
Sourced in United States
SPSS is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, data management, and data visualization. The core function of SPSS is to assist researchers, analysts, and organizations in conducting statistical analysis on a wide range of data types, including numerical, categorical, and textual data.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using statistical package for the social sciences spss program
1
Randomized Placebo-Controlled Metabolic Trial
2
Survival prediction using ε score
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The primary objective was to determine whether ε score was able to categorize patients into three different survival groups. PFS was defined as the time from ICIs start date to PD or death from any cause, while OS was defined as the time from ICIs start date to death from any cause or last follow-up. Survival curves were estimated by Kaplan–Meier method and compared by log-rank Mantel test. All p-values were two sided, and values less than 0.05 were considered statistically significant. Patients were categorized in three scoring groups (favorable, 0; intermediate, 1–2; poor, 3–5) according to the scoring system previously generated (Table 3 ) [16 (link)]. Optimal cut-offs for LDH and NLR values were determined using a statistic method which enables calculation of both the cut-off value and its significance [70 (link)]. We applied the method used by Newcombe et al. [71 (link)] to calculate two-sided confidence intervals for the single proportion. Cox progression hazard model was used for multivariate analyses and to compare survival outcomes according to the three ε categories.
Statistical analyses were implemented using the Statistical Package for the Social Sciences (SPSS) program version 25.0 (IBM, Armonk, NY, USA) [72 ].
Statistical analyses were implemented using the Statistical Package for the Social Sciences (SPSS) program version 25.0 (IBM, Armonk, NY, USA) [72 ].
3
Survival Analysis of Treatment Outcomes
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Progression-free survival was calculated from the date of initial treatment to the time of tumor progression, death or the last follow-up visit. Overall survival was calculated from the start of treatment to the time of death or the last follow-up. The Statistical Package for the Social Sciences (SPSS) program (version 20.0; IBM Corporation, Armonk, NY, USA) was used for statistical analyses. Continuous ordinal data are expressed as means ± standard deviation and qualitative data are expressed as frequency and rate. The Kaplan–Meier method was used to calculate the cumulative survival rates.
4
Statistical Analysis of Social Science Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We used the IBM Statistical Package for the Social Sciences (SPSS) program, version 21.0, to calculate and statistically analyse the results. In all cases, a minimum confidence interval of 95% was established. The significance threshold for all tests was set at p < .05 (two-tailed). We used the statistical tests Mann–Whitney for two variables and Kruskal–Wallis for more than two variables to find statistically significant differences, having first applied the Kolmogorov–Smirnov or Shapiro–Wilk sample normality tests as required, as well as Levene’s test for equality of variances. We used the ATLAS.ti program, version 1.5.2, for the qualitative analysis of the answers.
5
Professionalism Lapses in Medical Education
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We used a self-administered, anonymous, survey questionnaire, that is, the Dundee Poly-professionalism inventory-1: Academic Integrity “Supplemental Digital Content (Appendix 1).” This also incorporated the written consent of the participants. The survey was manually distributed to the agreed participants and collected back. Respondents commended the endorsements, based on a report,[13 (link)] in the form of 1 to 10 sanctions (Table 1 ) addressing 34 types of professionalism lapses in the undergraduate medical education context. These 34 statements served as the variables. Participants’ responses were recorded on 5 points Likert scale, that is, strongly disagree, disagree, neutral, agree, and strongly agree.
We entered the collected data into Microsoft Excel 2010 and carried out an extensive analysis using International Business Machines Corporation (IBM) Statistical Package for the Social Sciences (SPSS) Program. A P-value of <.05 was deliberated statistically significant.
We entered the collected data into Microsoft Excel 2010 and carried out an extensive analysis using International Business Machines Corporation (IBM) Statistical Package for the Social Sciences (SPSS) Program. A P-value of <.05 was deliberated statistically significant.
6
Reliability and Validity of Attitude Scale
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Firstly, the reliability of the scale was analyzed using Cronbach’s alpha, which yielded a value of 0.959, indicating a high level of reliability. For the subscale “immigration and social rights”, a Cronbach’s alpha of 0.864 was obtained, which was also very high.
Subsequently, a descriptive analysis was performed using percentages. For inferential statistics, a non-parametric test was conducted due to the non-normal distribution of the data. Differences in scale values by culture and sex were explored using the Mann-Whitney U-test. Differences in scale values by academic year and faculty were explored using the Kruskall-Wallis test. The statistical significance threshold was set at p ≤ 0.05. Data were treated with the Statistical Package for the Social Sciences (SPSS) program, version 25, (IBM, New York, NY, USA, for, Windows).
Subsequently, a descriptive analysis was performed using percentages. For inferential statistics, a non-parametric test was conducted due to the non-normal distribution of the data. Differences in scale values by culture and sex were explored using the Mann-Whitney U-test. Differences in scale values by academic year and faculty were explored using the Kruskall-Wallis test. The statistical significance threshold was set at p ≤ 0.05. Data were treated with the Statistical Package for the Social Sciences (SPSS) program, version 25, (IBM, New York, NY, USA, for, Windows).
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!