
Multiple conditional randomization tests
We propose a general framework for (multiple) conditional randomization ...
read it

On testing mean proportionality of multivariate normal variables
This short note considers the problem of testing the null hypothesis tha...
read it

Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials
In randomized clinical trials, adjustments for baseline covariates at bo...
read it

A note on posttreatment selection in studying racial discrimination in policing
We discuss some causal estimands used to study racial discrimination in ...
read it

A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
Mendelian Randomization (MR) is a popular method in epidemiology and gen...
read it

BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID19) pandemic
The coronavirus disease 2019 (COVID19) has quickly grown from a regiona...
read it

Selecting and ranking individualized treatment rules with unmeasured confounding
It is common to compare individualized treatment rules based on the valu...
read it

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...
read it

An Interval Estimation Approach to Selection Bias in Observational Studies
A persistent challenge in observational studies is that nonrandom parti...
read it

Powerful genomewide design and robust statistical inference in twosample summarydata Mendelian randomization
Mendelian randomization (MR) uses genetic variants as instrumental varia...
read it

A genomewide 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...
read it

Statistical inference in twosample summarydata Mendelian randomization using robust adjusted profile score
Mendelian randomization (MR) is a method of exploiting genetic variation...
read it

Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
To identify the estimand in missing data problems and observational stud...
read it
Qingyuan Zhao
is this you? claim profile