research
∙
05/27/2023
Counterfactual Formulation of Patient-Specific Root Causes of Disease
Root causes of disease intuitively correspond to root vertices that incr...
share
research
∙
10/27/2022
Sample-Specific Root Causal Inference with Latent Variables
Root causal analysis seeks to identify the set of initial perturbations ...
research
∙
05/25/2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
Complex diseases are caused by a multitude of factors that may differ be...
research
∙
05/23/2022
Identifying Patient-Specific Root Causes of Disease
Complex diseases are caused by a multitude of factors that may differ be...
research
∙
11/25/2021
Generalizing Clinical Trials with Convex Hulls
Randomized clinical trials eliminate confounding but impose strict exclu...
research
∙
05/02/2021
Synthesized Difference in Differences
Randomized clinical trials (RCTs) eliminate confounding but impose stric...
research
∙
11/03/2020
Automated Hyperparameter Selection for the PC Algorithm
The PC algorithm infers causal relations using conditional independence ...
research
∙
09/12/2019
The Global Markov Property for a Mixture of DAGs
Real causal processes may contain feedback loops and change over time. I...
research
∙
05/24/2019
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
Personalized medicine seeks to identify the causal effect of treatment f...
research
∙
01/28/2019
Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs
Many causal processes in biomedicine contain cycles and evolve. However,...
research
∙
05/05/2018
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias
Causal processes in nature may contain cycles, and real datasets may vio...
research
∙
05/25/2017
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion
Many real datasets contain values missing not at random (MNAR). In this ...
research
∙
02/13/2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Constraint-based causal discovery (CCD) algorithms require fast and accu...
research
∙
07/14/2016
Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values
The PC algorithm allows investigators to estimate a complete partially d...
research
∙
09/14/2015
Markov Boundary Discovery with Ridge Regularized Linear Models
Ridge regularized linear models (RRLMs), such as ridge regression and th...
research
∙
07/28/2014
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data
Motivation: Algorithms that discover variables which are causally relate...
research
∙
02/01/2014
