In the analysis of survival data, the statistician is often faced with the problem of competing risks, and a variety of approaches have been presented in the literature. One of the oldest and ...

We present estimators for semiparametric regression models where the dependent variable is grouped, that is, known to fall in a specified group with observable thresholds while its true value remains ...

What Is Peer Group Analysis? Potential Pitfalls of Improper Peer Group Analysis A Three-Step Process to Choosing the Right Peer Group How to Use Peer Analysis Across the Investment Workflow A ...

We examine emerging consensus points for five key components of microarray analysis — design, preprocessing, inference, classification and validation. Biological replication is important in the design ...

Analyzing large datasets in Excel can often feel overwhelming, but using dynamic summaries with drill-down capabilities can significantly enhance your workflow. Whether you’re tracking sales, managing ...

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 ...

Source: 1999 Strategic Compensation Survey, compiled by The Society for Human Resource Management in Alexandria, Va., and Arthur Andersen in Chicago. When Amy Glynn founded the Womens Executive ...

Have you ever found yourself staring at multiple Excel tables, wondering how to make sense of the scattered data? Whether you’re managing sales reports, tracking inventory, or analyzing performance ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...