Background In non-inferiority trials with non-adherence to interventions (or non-compliance), intention-to-treat and per-protocol analyses are often performed; however, non-random non-adherence ...

Statistics plays a key role in bridging research between mathematics and applied data science within the department. Research problems in statistics are relevant to a range of areas in mathematics, ...

Here we offer a 'meta-methodology' and framework in which to evaluate epistemological foundations of proposed statistical methods. On the basis of this framework, we consider that many statistical ...

New statistical frameworks such as net treatment benefit offer a multidimensional approach to evaluating efficacy, safety, and patient-centered outcomes in oncology trials. Net treatment benefit (NTB) ...

Newer assays, especially DNA sequencing-based assays such as variant identification sequencing, RNA sequencing (“RNA-seq”) for digital gene expression assays, chromatin immunoprecipitation sequencing ...

Abstract: This paper discusses an efficient statistical analysis methodology for system-level signal integrity analysis. In the proposed method, statistical variations of the design and operational ...

The recent advancements and developments reached in statistical genetics and methodology, especially over the past year, have been exceptional and are the result of the great achievements made by ...

The Journal of the American Statistical Association (JASA) has long been considered the premier journal of statistical science. Science Citation Index reported JASA was the most highly cited journal ...

Last year, Nature and Nature Medicine were publicly criticized for what could be described as the sloppiness of the statistical analysis in some of our published articles. These criticisms prompted us ...

ABSTRACT: We propose a subsampling method for robust estimation of regression models which is built on classical methods such as the least squares method. It makes use of the non-robust nature of the ...