8 citations · 14 across the 6 of their papers we have counts for
6 papers
Sensitivity Analysis for Marginal Structural Models
Matteo Bonvini, Edward Kennedy, Valerie Ventura +1
We introduce several methods for assessing sensitivity to unmeasured confounding in marginal structural models; importantly we allow treatments to be discrete or continuous, static…
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates
Stephen Bates, Edward Kennedy, Robert Tibshirani +2
Standard regression adjustment gives inconsistent estimates of causal effects when there are time-varying treatment effects and time-varying covariates. Loosely speaking, the issue…
Cross-Population Amplitude Coupling in High-Dimensional Oscillatory Neural Time Series
Heejong Bong, Valérie Ventura, Eric A. Yttri +2
Neural oscillations have long been considered important markers of interaction across brain regions, yet identifying coordinated oscillatory activity from high-dimensional multiple…
Causal Inference in the Time of Covid-19
Matteo Bonvini, Edward Kennedy, Valerie Ventura +1
In this paper we develop statistical methods for causal inference in epidemics. Our focus is in estimating the effect of social mobility on deaths in the Covid-19 pandemic. We prop…
Computationally efficient model selection for joint spikes and waveforms decoding
Francesca Matano, Valérie Ventura
A recent paradigm for decoding behavioral variables or stimuli from neuron ensembles relies on joint models for electrode spike trains and their waveforms, which, in principle, is…
Detecting changes in maps of gamma spectra with Kolmogorov-Smirnov tests
Alex Reinhart, Valérie Ventura, Alex Athey
Various security, regulatory, and consequence management agencies are interested in continuously monitoring wide areas for unexpected changes in radioactivity. Existing detection s…