4 citations · 7 across the 4 of their papers we have counts for
4 papers
Cost-effectiveness Analysis of Antiepidemic Policies and Global Situation Assessment of COVID-19
Liyan Xu, Hongmou Zhang, Yuqiao Deng +17
With a two-layer contact-dispersion model and data in China, we analyze the cost-effectiveness of three types of antiepidemic measures for COVID-19: regular epidemiological control…
airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution
M. Benjamin Sabath, Qian Di, Danielle Braun +3
Fine particulate matter (PM) is one of the criteria air pollutants regulated by the Environmental Protection Agency in the United States. There is strong evidence that ambi…
A Fast Divide-and-Conquer Sparse Cox Regression
Yan Wang, Nathan Palmer, Qian Di +3
We propose a computationally and statistically efficient divide-and-conquer (DAC) algorithm to fit sparse Cox regression to massive datasets where the sample size is exceedin…
Causal inference in the context of an error prone exposure: air pollution and mortality
Xiao Wu, Danielle Braun, Marianthi-Anna Kioumourtzoglou +3
We propose a new approach for estimating causal effects when the exposure is measured with error and confounding adjustment is performed via a generalized propensity score (GPS). U…