Data were extracted and analyzed to demonstrate the changes in the patterns of cancers diagnosed in women between 1960 – 1969 and 2004 – 2013, a period of 2 distinct decades, separated by thirty-five years. A validated structured proforma was used to retrieve data and information which included the ages of the women, the cancer sites and year of presentation. The data obtained were entered into Microsoft Excel spread sheet, edited for outliers and any inconsistencies, and transferred to IBM SPSS statistics version 20 for analysis.
Excel spreadsheet
Manufactured by IBM
Sourced in United States
Excel Spreadsheet is a computer software program that provides a digital grid-based interface for organizing, analyzing, and visualizing data. Its core function is to allow users to input, manipulate, and display numerical and textual information in a tabular format.
Automatically generated - may contain errors
Lab products found in correlation
Statistical package for the social science, by IBM (2 mentions)
Spss version 20, by IBM (2 mentions)
Spss statistics version 20, by IBM (1 mentions)
Spss statistics version 22, by IBM (1 mentions)
Spss software package version 20, by IBM (1 mentions)
Spss for windows version 20, by IBM (1 mentions)
Spss 26, by IBM (1 mentions)
Spss software version 20, by IBM (1 mentions)
Spss 24, by IBM (1 mentions)
Spss statistic software version 25, by IBM (1 mentions)
Spss v12, by IBM (1 mentions)
Spss statistical package version 18, by IBM (1 mentions)
Spss version 21, by IBM (1 mentions)
23 protocols using excel spreadsheet
1
Trends in Women's Cancer Diagnosis
2
Analyzing Pre-Post Test Differences
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were entered into Microsoft Excel Spread Sheet and analyzed using Statistical Package for Social Sciences (SPSS-IBM) version 22.0, India. The descriptive statistics like percentage and inferential statistics like Wilcoxon signed-rank test were applied to test the difference between pre and posttest score.
3
Antimicrobial Resistance Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data collected were entered into a Microsoft Excel Spreadsheet and analyzed using IBM SPSS Statistics, Version 22 (Armonk, NY IBM Corp). The frequency and mean standard deviation of the samples were analyzed using Fisher's exact value test. Percentage of resistance among the isolates to different antimicrobials was also determined.
4
Survey on Intraabdominal Testis Management
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
A 16-question-survey regarding respondent demographics and practices related to the management of intraabdominal testis was created and administered via RedCap, a web application for building and managing online surveys and databases. The first four demographic questions were required, but all other questions were answered at participant discretion. The survey was developed and screened through the WOFAPS Outcomes and Evidence Based Practice Committee prior to dissemination. The headquarters of WOFAPS sent an email on 4th of April 2021 to all WOFAPS members inviting voluntary survey participation. Collective survey answers were tabulated and reported as frequencies and percentages. Data were entered using Microsoft EXCEL spreadsheet and analyzed using IBM SPSS software package version 20.0. (Armonk, NY: IBM Corp). Descriptive statistics were performed for each survey item.
5
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We analyzed our data by using the Microsoft Excel Spreadsheet and the Statistical Package for Social Sciences Program (SPSS) for Windows version 20.0 (IBM Corp, Armonk, NY, USA). Normal distribution was represented by mean and standard deviation, whereas skewed distribution was expressed by median. Categorical variables in proportions were analyzed using Chi-square test or Fisher's exact test or Student's t-test. P < 0.05 was considered as being statistically significant. All P values were two tailed.
6
Descriptive Statistical Analysis of Variables
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data were entered into a Microsoft Excel Spreadsheet after data cleaning and then were transported into SPSS (IBM, IL, USA) for statistical analysis.
Descriptive statistics (mean, standard deviation, minimum, maximum, numbers and percentage) were calculated for variables. Probability measure were used, the analytical statistics was done to find the relations between variables with p value < 0.05 considered as significant.
Descriptive statistics (mean, standard deviation, minimum, maximum, numbers and percentage) were calculated for variables. Probability measure were used, the analytical statistics was done to find the relations between variables with p value < 0.05 considered as significant.
7
Particle Counter Data Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data captured by the particle counter were tabulated in Excel spreadsheet for Mac 2016 and analysed in SPSS 26 by IBM. Comparisons were made using a one-way analysis of variance (ANOVA) for independent groups, with a Tukey significance level of 0.05. A comparison of means for each procedure with and without the external HVE device was used to determine significance of each of the means. Significance level was set at P <0.05 for all analyses.
8
Comprehensive Statistical Analysis of Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Raw data was entered in Microsoft Excel Spreadsheet and was exported to SPSS software Version 20 (IBM SPSS Statistics Inc. Chicago, Illinois, USA). Descriptive Statistics included computation of means, standard deviation, and percentages. Chi-square test, ANOVA, correlation statistics (Karl Pearson’s correlation test), and odds ratio were applied to draw inferences.
9
Comprehensive Statistical Analysis of Quality of Life
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The statistical analysis was carried out with the statistical software SPSS (IBM, Armonk, NY, USA) Statistics 22 and the Excel Spreadsheet program. A bilateral contrast and a 95% trust level were adopted.
The normality of the distribution was estimated through the Kolmogorov–Smirnov test, and the variance homogeneity was analysed with the Levene test. The presence of atypical scores was searched by carrying out a sensitivity analysis with the aim of finding out how these scores affected the outcomes. As long as the normality postulates were fulfilled, parametric and non-parametric techniques were applied.
A univariate analysis of all data was conducted. The quantitative variables are described by the mean and the standard deviation and the qualitative variables through absolute and relative frequencies. A bivariate analysis was used to examine the association between covariables and overall scores in EuroQoL-5D, Barthel, Braden, and IEXPAC. After researching suppositions that might be related to the normal distribution of residuals and multicollinearity, a multivariate linear regression analysis was conducted utilising the backward elimination model with a p-value < 0.20.
The normality of the distribution was estimated through the Kolmogorov–Smirnov test, and the variance homogeneity was analysed with the Levene test. The presence of atypical scores was searched by carrying out a sensitivity analysis with the aim of finding out how these scores affected the outcomes. As long as the normality postulates were fulfilled, parametric and non-parametric techniques were applied.
A univariate analysis of all data was conducted. The quantitative variables are described by the mean and the standard deviation and the qualitative variables through absolute and relative frequencies. A bivariate analysis was used to examine the association between covariables and overall scores in EuroQoL-5D, Barthel, Braden, and IEXPAC. After researching suppositions that might be related to the normal distribution of residuals and multicollinearity, a multivariate linear regression analysis was conducted utilising the backward elimination model with a p-value < 0.20.
10
Statistical Analysis of Numerical and Categorical Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
For statistical analysis, data were entered into a Microsoft Excel Spreadsheet and then were analyzed by SPSS 24.0 (IBM corporation, New York City, NY, USA).
Data had been summarized as mean and standard deviation for numerical variables and count and percentages for categorical variables.
Student's independent sample's t-test was applied to compare normally distributed numerical variables between groups; unpaired proportions were compared by Chi-square test or Fisher's exact test, as appropriate. P ≤ 0.05 was considered statistically significant.
Data had been summarized as mean and standard deviation for numerical variables and count and percentages for categorical variables.
Student's independent sample's t-test was applied to compare normally distributed numerical variables between groups; unpaired proportions were compared by Chi-square test or Fisher's exact test, as appropriate. P ≤ 0.05 was considered statistically significant.
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!