research
∙
09/12/2023
Confounder selection via iterative graph expansion
Confounder selection, namely choosing a set of covariates to control for...
share
research
∙
03/02/2023
Simultaneous Hypothesis Testing Using Internal Negative Controls with An Application to Proteomics
Negative control is a common technique in scientific investigations and ...
research
∙
12/30/2022
Sensitivity Analysis with the R^2-calculus
Causal inference necessarily relies upon untestable assumptions; hence, ...
research
∙
11/09/2022
Bounds and semiparametric inference in L^∞- and L^2-sensitivity analysis for observational studies
Sensitivity analysis for the unconfoundedness assumption is a crucial co...
research
∙
10/09/2022
A unified analysis of regression adjustment in randomized experiments
Regression adjustment is broadly applied in randomized trials under the ...
research
∙
08/30/2022
Almost exact Mendelian randomization
Mendelian randomization (MR) is an observational design based on the ran...
research
∙
08/29/2022
Confounder Selection: Objectives and Approaches
Confounder selection is perhaps the most important step in the design of...
research
∙
03/21/2022
What is a randomization test?
The meaning of randomization tests has become obscure in statistics educ...
research
∙
04/21/2021
Multiple conditional randomization tests
We propose a general framework for (multiple) conditional randomization ...
research
∙
03/09/2021
On testing mean proportionality of multivariate normal variables
This short note considers the problem of testing the null hypothesis tha...
research
∙
09/24/2020
Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials
In randomized clinical trials, adjustments for baseline covariates at bo...
research
∙
09/10/2020
A note on post-treatment selection in studying racial discrimination in policing
We discuss some causal estimands used to study racial discrimination in ...
research
∙
07/13/2020
A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
Mendelian Randomization (MR) is a popular method in epidemiology and gen...
research
∙
04/16/2020
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
The coronavirus disease 2019 (COVID-19) has quickly grown from a regiona...
research
∙
02/24/2020
Selecting and ranking individualized treatment rules with unmeasured confounding
It is common to compare individualized treatment rules based on the valu...
research
∙
02/19/2020
ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
We present a comprehensive R software ivmodel for analyzing instrumental...
research
∙
06/24/2019
An Interval Estimation Approach to Selection Bias in Observational Studies
A persistent challenge in observational studies is that non-random parti...
research
∙
04/19/2018
Powerful genome-wide design and robust statistical inference in two-sample summary-data Mendelian randomization
Mendelian randomization (MR) uses genetic variants as instrumental varia...
research
∙
04/19/2018
A genome-wide design and an empirical partially Bayes approach to increase the power of Mendelian randomization, with application to the effect of blood lipids on cardiovascula
Mendelian randomization (MR) is an instrumental variable method of estim...
research
∙
01/29/2018
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
Mendelian randomization (MR) is a method of exploiting genetic variation...
research
∙
11/30/2017
