Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

Objective: To explore and analyze the risk factors leading to delayed discharge in patients undergoing day surgery for total knee arthroplasty, providing a theoretical basis for optimizing patient ...

Are you looking to get experience with Excel for use in your projects, theses or on the job? Join Daria Orlowska, data librarian, in a live demonstration of combining, organizing and analyzing data.

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

Objective: To investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive ...

The officials cite "deeply troubling reports of dangerous interactions" that have "rightly shaken the American public's confidence." Authors Grady Hendrix and Jennifer Roberson sue Apple, alleging it ...

Abstract: Stata and python were used to analyze and clean the data of TCM diagnosis thyroid medical records. Principal component analysis and factor analysis were used to analyze and clean the ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...