1 citations · 1 across the 8 of their papers we have counts for
8 papers
Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment
Gabriel Ruiz
We cover how to determine a sufficiently large sample size for a -armed randomized experiment in order to estimate conditional counterfactual expectations in data-driven subgrou…
Neuroevolutionary Feature Representations for Causal Inference
Michael C. Burkhart, Gabriel Ruiz
Within the field of causal inference, we consider the problem of estimating heterogeneous treatment effects from data. We propose and validate a novel approach for learning feature…
High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
Gabriel Ruiz, Oscar Hernan Madrid Padilla
We seek to understand the probability an individual benefits from treatment (PIBT), an inestimable quantity that must be bounded in practice. Given the innate uncertainty in the po…
Sequentially learning the topological ordering of causal directed acyclic graphs with likelihood ratio scores
Gabriel Ruiz, Oscar Hernan Madrid Padilla, Qing Zhou
Causal discovery, the learning of causality in a data mining scenario, has been of strong scientific and theoretical interest as a starting point to identify "what causes what?" Co…
A causal fused lasso for interpretable heterogeneous treatment effects estimation
Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla +1
We propose a novel method for estimating heterogeneous treatment effects based on the fused lasso. By first ordering samples based on the propensity or prognostic score, we match u…
Maximum value of the standardized log of odds ratio and celestial mechanics
Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri V. Zaykin
The odds ratio (OR) is a widely used measure of the effect size in observational research. ORs reflect statistical association between a binary outcome, such as the presence of a h…
Assessment of P-value variability in the current replicability crisis
Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri V. Zaykin
Increased availability of data and accessibility of computational tools in recent years have created unprecedented opportunities for scientific research driven by statistical analy…
The more you test, the more you find: Smallest P-values become increasingly enriched with real findings as more tests are conducted
Olga A. Vsevolozhskaya, Chia-Ling Kuo, Gabriel Ruiz +2
Increasing accessibility of data to researchers makes it possible to conduct massive amounts of statistical testing. Rather than follow a carefully crafted set of scientific hypoth…