The largest database of trusted experimental protocols

Spss advanced statistics version 24

Manufactured by IBM
Sourced in United States

SPSS Advanced Statistics, version 24 is a software package designed for advanced statistical analysis. It provides a comprehensive set of tools for complex data analysis, including techniques such as regression, factor analysis, and time series analysis. The software is intended to assist researchers, analysts, and data scientists in conducting in-depth statistical investigations and deriving meaningful insights from their data.

Automatically generated - may contain errors

Lab products found in correlation

2 protocols using spss advanced statistics version 24

1

Comparative Aesthetic Outcomes Study

Check if the same lab product or an alternative is used in the 5 most similar protocols
Based on a previous study by Azuma et al. in 2014 [13 (link)], the clinical important difference in DAn between the two groups was expected to be 6, with a standard deviation (SD) of the control group was ±4.38. Considering a significance level of 5.0% and statistical power of 80.0%, 9 patients per group would be necessary (18 totals). Taking into account possible losses to follow-up, this number was increased to a sample size of 11 patients per group (22 totals; 20% more than the calculated) for losses compensation. The sample size was calculated using PS program.
Data analysis was conducted using IBM SPSS advanced statistics, version 24 (SPSS Inc., Chicago, IL). Summary statistics were presented with either the mean ± standard deviation or the median (range) for numerical data and with counts and percentages for categorical data. Kolmogorov-Smirnov test and Shapiro-Wilk test were used to explore the data for normality. The Student’s t-test was used to compare the normally distributed numeric variables of aesthetic outcomes and operation times, while comparisons for non-normally distributed numerical variables were done by Mann-Whitney test. Comparisons between categorical variables were performed using the chi-square test. A P-value less than or equal to 0.05 (P ≤ 0.05) was considered statistically significant. All tests were two-tailed.
+ Open protocol
+ Expand
2

Survival Analysis of Cancer Treatment

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed using IBM SPSS advanced statistics, version 24 (SPSS Inc., Chicago, IL, USA). Numerical data were described as median and range or mean and standard deviation as appropriate, while qualitative data were described as number and percentage. Disease‐free survival (DFS) was calculated from date of complete remission till date of relapse, metastasis, death, or last follow‐up. Overall survival (OS) was calculated from date of diagnosis till date of death or last follow‐up.
+ 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!