Transfer learning provides a powerful tool for incorporating data from related studies into a
target study of interest. In epidemiology and medical studies, the classification of a target …

A general theory of hypothesis tests and confidence regions for sparse high dimensional
models Page 1 The Annals of Statistics 2017, Vol. 45, No. 1, 158–195 DOI: 10.1214/16-AOS1448 …

In the era of big data, standard analysis tools may be inadequate for making inference and
there is a growing need for more efficient and innovative ways to collect, process, analyze …

The 1972 paper introducing the Cox proportional hazards regression model is one of the
most widely cited statistical articles. In the present article, we give an account of the model …

Motivation Mediation analysis has become a prevalent method to identify causal pathway (s)
between an independent variable and a dependent variable through intermediate variable …

Inference for the conditional association between an exposure and a time-to-event endpoint,
given covariates, is routinely based on partial likelihood estimators for hazard ratios …

This paper is concerned with testing linear hypotheses in high-dimensional generalized
linear models. To deal with linear hypotheses, we first propose constrained partial …

The need for new methods to deal with big data is a common theme in most scientific fields,
although its definition tends to vary with the context. Statistical ideas are an essential part of …

With the growing availability of large-scale biomedical data, it is often time-consuming or
infeasible to directly perform traditional statistical analysis with relatively limited computing …

PURPOSE A previous study demonstrated that power against the (unobserved) true effect
for the primary end point (PEP) of most phase III oncology trials is low, suggesting an …