1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.CO2018★ 1 cited
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…
stat.ME2016
A Class of Semiparametric Tests of Treatment Effect Robust to Confounder Classical Measurement Error
Caleb H. Miles, Joel Schwartz, Eric J. Tchetgen Tchetgen
When assessing the presence of an exposure causal effect on a given outcome, it is well known that classical measurement error of the exposure can reduce the power of a test of the…