Statistical methods for longitudinal data analysis address the unique challenges of studying repeated measurements on individuals over time. These methods must accommodate temporal correlation, uneven ...

The statistical methods scientists use to analyze outcomes from clinical trials in amyotrophic lateral sclerosis (ALS) vary widely, and these differences may make some trials prone to generating ...

Case-control studies remain a cornerstone of observational epidemiology, enabling efficient investigation of associations between exposures and rare or costly outcomes. At their heart lies the careful ...

Members of the university community are invited to participate in a workshop on "Modern Methods for Data Analysis" from Monday, Jan. 11 through Friday, Jan. 15, from 10 a.m. to noon (EST). The ...

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

BIOSKETCH: Mark Hansen is a professor of statistics at the University of California at Los Angeles, with a joint appointment in design and media arts. His fields of expertise include statistical ...

Learn the systematic process for sorting data to aid in your business decision-making. The core objective of market research is to provide evidence-based insights that decrease uncertainty and risk.

Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...

International guidelines on the use of routinely collected data set new quality standards—The increasing availability of ...