Causal mediation analysis comprises a set of statistical techniques designed to disentangle the pathways through which an exposure or treatment exerts its effect on an outcome. By partitioning the ...

Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the ...

In oncology drug development, biomarker-driven studies are pivotal, enabling the selection of patient populations most likely to benefit from specific therapeutic interventions. These studies have ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, new statistical analysis methods are being developed to make more out of ...

The restricted mean survival time (RMST) analysis technique was introduced in health care research about 25 years ago and since then has become widely used in economics, engineering, business and ...

A variety of statistical tools can detect potential breaches in the integrity of elections. These techniques draw on tools from many fields, including pure mathematics, statistics, and machine ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...