The increasing availability of high-dimensional, longitudinal measures of gene expression
can facilitate understanding of biological mechanisms, as required for precision medicine …

Semiparametric accelerated failure time (AFT) models are a useful alternative to Cox
proportional hazards models, especially when the assumption of constant hazard ratios is …

Background The time until an event happens is the outcome variable of interest in the
statistical data analysis method known as survival analysis. Some researchers have created …

Simulating from the multivariate truncated normal distribution (MTN) is required in various
statistical applications yet remains challenging in high dimensions. Currently available …

The majority of Americans fail to achieve recommended levels of physical activity, which
leads to numerous preventable health problems such as diabetes, hypertension, and heart …

Inferring dependencies between complex biological traits while accounting for evolutionary
relationships among specimens is of great scientific interest, yet remains infeasible when …

This paper presents the Relevance Feature and Vector Machine (RFVM), a novel Bayesian
model that efficiently addresses the wide-data challenges of gene expression microarrays …

There are a lot of Machine Learning and Biostatistics methods that are combined together to
address the health problems and challenges. In this literature review with Google Scholar …

Preclinical cancer models, such as tumour-derived cell lines and animal models, are
essential in cancer research. Consistently used as a platform to investigate mechanism of …

1 Wei Sun Last updates: September 15, 2021 Fred Hutchinson Cancer Research Center
206-667-3188 Biostatistics Program wsun Page 1 1 Wei Sun Last updates: September 15 …