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 ...

Our laboratory has developed a range of data analysis workflows that incorporate advanced statistical and computational methods to interpret the complex molecular datasets generated by MS technologies ...

THE appearance of a further edition of "Statistical Methods for Research Workers" might easily pass almost unnoticed, for nine editions have appeared at regular intervals in the last nineteen years.

Researchers of the HSE International Laboratory of Statistical and Computational Genomics together with their international colleagues have proposed a new statistical method for analyzing population ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Statistical methods now being used in adaptive biomarker-driven clinical trials are reviewed. Some previous paradigms for clinical trial design can limit the development of more effective methods on ...

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-making. In both traditional ...

Improving statistical methods to protect wildlife populations Threats affecting more and more species Date: May 22, 2024 Source: University of Barcelona Summary: In human populations, it is relatively ...

Statistics influence nearly everything. That is, the information and context derived from statistical analysis help to shape important decisions that have local, national, and global impacts. For ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...