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03/11/2023
A Differential Effect Approach to Partial Identification of Treatment Effects
We consider identification and inference for the average treatment effec...
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01/11/2023
RobustIV and controlfunctionIV: Causal Inference for Linear and Nonlinear Models with Invalid Instrumental Variables
We present R software packages RobustIV and controlfunctionIV for causal...
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10/13/2022
Model-robust and efficient inference for cluster-randomized experiments
Cluster-randomized experiments are increasingly used to evaluate interve...
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10/11/2022
Protocol for an Observational Study on the Effects of Giving Births from Unintended Pregnancies on Later Life Physical and Mental Health
There has been increasing interest in studying the effect of giving birt...
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09/21/2022
Structural mean models for instrumented difference-in-differences
In the standard difference-in-differences research design, the parallel ...
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09/02/2022
Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed
The attributable fraction among the exposed (AF_e), also known as the at...
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02/07/2022
Randomization Inference for Cluster-Randomized Test-Negative Designs with Application to Dengue Studies: Unbiased estimation, Partial compliance, and Stepped-wedge design
In 2019, the World Health Organization identified dengue as one of the t...
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12/01/2021
On the robustness and precision of mixed-model analysis of covariance in cluster-randomized trials
In the analyses of cluster-randomized trials, a standard approach for co...
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07/06/2021
Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
Two-sample tests have been one of the most classical topics in statistic...
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05/03/2021
Combining Broad and Narrow Case Definitions in Matched Case-Control Studies
In a matched case-control study, cases are compared to noncases, who are...
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12/01/2020
Relationship Between Changing Malaria Burden and Low Birth Weight in Sub-Saharan Africa
According to the World Health Organization (WHO), in 2018, an estimated ...
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11/12/2020
Social Distancing and COVID-19: Randomization Inference for a Structured Dose-Response Relationship
Social distancing is widely acknowledged as an effective public health p...
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11/06/2020
Controlling for Unmeasured Confounding in the Presence of Time: Instrumental Variable for Trend
Unmeasured confounding is a key threat to reliable causal inference base...
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09/15/2020
Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias
Difference-in-differences analysis with a control group that differs con...
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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 ...
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06/03/2020
A Negative Correlation Strategy for Bracketing in Difference-in-Differences with Application to the Effect of Voter Identification Laws on Voter Turnout
The method of difference-in-differences (DID) is widely used to study th...
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06/02/2020
Two Robust Tools for Inference about Causal Effects with Invalid Instruments
Instrumental variables have been widely used to estimate the causal effe...
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05/04/2020
Protocol for a Study of the Effect of Surface Mining in Central Appalachia on Adverse Birth Outcomes
Surface mining has become a major method of coal mining in Central Appal...
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04/02/2020
On Interactions Between Observed and Unobserved Covariates in Matched Observational Studies
In observational studies, it is typically unrealistic to assume that tre...
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02/24/2020
Selecting and ranking individualized treatment rules with unmeasured confounding
It is common to compare individualized treatment rules based on the valu...
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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...
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11/20/2019
Instrumental Variables: to Strengthen or not to Strengthen?
Instrumental variables (IV) are extensively used to estimate treatment e...
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09/10/2019
Regression to the Mean's Impact on the Synthetic Control Method: Bias and Sensitivity Analysis
To make informed policy recommendations from observational data, we must...
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08/26/2019
Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design
Accurate estimates of malaria vaccine efficacy require a reliable defini...
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07/15/2019
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach
In many observational studies, the interest is in the effect of treatmen...
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05/26/2019
A Test for Differential Ascertainment in Case-Control Studies with Application to Child Maltreatment
We propose a method to test for the presence of differential ascertainme...
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04/28/2019
Nonparametric maximum likelihood estimation under a likelihood ratio order
Comparison of two univariate distributions based on independent samples ...
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04/25/2019
Bracketing in the Comparative Interrupted Time-Series Design to Address Concerns about History Interacting with Group: Evaluating Missouri Handgun Purchaser Law
In the comparative interrupted time series design (also called the metho...
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02/26/2019
Protocol for an Observational Study of the Association of High School Football Participation on Health in Late Adulthood
American football is the most popular high school sport and is among the...
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01/07/2019
Patterns of Effects and Sensitivity Analysis for Differences-in-Differences
Applied analysts often use the differences-in-differences (DID) method t...
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08/12/2018
Protocol for an observational study on the effects of playing football in adolescence on mental health in early adulthood
More than 1 million students play high school American football annually...
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07/27/2018
Protocol for an Observational Study on the Effects of Early-Life Participation in Contact Sports on Later-Life Cognition in a Sample of Monozygotic and Dizygotic Swedish Twins
A large body of work links traumatic brain injury (TBI) in adulthood to ...
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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...
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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...
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02/19/2018
Sensitivity analyses for average treatment effects when outcome is censored by death in instrumental variable models
Two problems that arise in making causal inferences for non-mortality ou...
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02/19/2018
Discovering Effect Modification and Randomization Inference in Air Pollution Studies
Studies have shown that exposure to air pollution, even at low levels, s...
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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...
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11/30/2017