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Rethinking Item Fairness Using Single World Intervention Graphs Open
Since the 1960s, the testing community has striven to ensure fairness in tests and test items. Differential item functioning (DIF) is a widely used statistical notion for items that may unfairly disadvantage specific subgroups of test-take…
Evidence Factors in Fuzzy Regression Discontinuity Designs with Sequential Treatment Assignments Open
Many observational studies often involve multiple levels of treatment assignment. In particular, fuzzy regression discontinuity (RD) designs have sequential treatment assignment processes: first based on eligibility criteria, and second, o…
Using Generative AI for Sequential Data Generation in Monte Carlo Simulation Studies Open
Monte Carlo simulation studies are the de facto standard for assessing both classical and modern statistical methods. In traditional simulation studies, researchers have full discretion over data generation and often create simulated data …
Rethinking Item Fairness Using Single World Intervention Graphs Open
Since the 1960s, the testing community has striven to ensure fairness in tests and test items. Differential item functioning (DIF) is a widely used statistical notion for items that may unfairly disadvantage specific subgroups of test-take…
Using Generative AI for Sequential Data Generation in Monte Carlo Simulation Studies Open
Monte Carlo simulation studies are the de facto standard for assessing both classical and modern statistical methods. In traditional simulation studies, researchers have full discretion over data generation and often create simulated data …
Evaluating Intersectional Fairness in Algorithmic Decision Making Using Intersectional Differential Algorithmic Functioning Open
Ensuring fairness is crucial in developing modern algorithms and tests. To address potential biases and discrimination in algorithmic decision making, researchers have drawn insights from the test fairness literature, notably the work on d…
Fuzzy Regression Discontinuity Designs with Multiple Control Groups Under One-Sided Noncompliance: Evaluating Extended Time Accommodations Open
Since its conception by Thistlethwaite and Campbell (1960), a regression discontinuity (RD) design has continuously evolved and progressed in various aspects. This paper explores a novel theoretical advancement in fuzzy RD designs by combi…
Regression Discontinuity Designs in Education: A Practitioner's Guide Open
Regression discontinuity (RD) designs have gained significant popularity as a quasi-experimental device for evaluating education programs and policies. In this paper, we present a comprehensive review of RD designs, focusing on the continu…
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials Open
Optimal treatment regimes (OTRs) have been widely employed in computer science and personalized medicine to provide data-driven, optimal recommendations to individuals. However, previous research on OTRs has primarily focused on settings t…
View article: The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems
The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems Open
Main objective There is limited information on how patient outcomes have changed during the COVID-19 pandemic. This study characterizes changes in mortality, intubation, and ICU admission rates during the first 20 months of the pandemic. S…
View article: The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems
The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems Open
Main objective There is limited information on how patient outcomes have changed during the COVID-19 pandemic. This study characterizes changes in mortality, intubation, and ICU admission rates during the first 20 months of the pandemic. S…
View article: Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study
Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study Open
Introduction Available evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown. Metho…
View article: Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin
Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin Open
Background: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. Methods: Electronic health record data of 104,590 adult hospitaliz…
Auditory-Perceptual Features of Speech in Children and Adults With Down Syndrome: A Speech Profile Analysis Open
Purpose The aim of this study was to determine how the speech disorder profiles in Down syndrome (DS) relate to reduced intelligibility, atypical overall quality, and impairments in the subsystems of speech production (phonation, articulat…
View article: Regression Discontinuity Designs with an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English Language Learners
Regression Discontinuity Designs with an Ordinal Running Variable: Evaluating the Effects of Extended Time Accommodations for English Language Learners Open
Regression discontinuity designs are commonly used for program evaluation with continuous treatment assignment variables. But in practice, treatment assignment is frequently based on ordinal variables. In this study, we propose a regressio…