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01/19/2023
Analysis of the 24-Hour Activity Cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought (ACT) Study
The 24-hour activity cycle (24HAC) is a new paradigm for studying activi...
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09/25/2022
Issues in Implementing Regression Calibration Analyses
Regression calibration is a popular approach for correcting biases in es...
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09/21/2022
Practical considerations for sandwich variance estimation in two-stage regression settings
We present a practical approach for computing the sandwich variance esti...
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05/03/2022
Three-phase generalized raking and multiple imputation estimators to address error-prone data
Validation studies are often used to obtain more reliable information in...
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01/09/2022
A Model-Free and Finite-Population-Exact Framework for Randomized Experiments Subject to Outcome Misclassification via Integer Programming
Randomized experiments (trials) are the gold standard for making causal ...
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12/22/2021
Assessment of biomarkers for carotenoids, tocopherols, retinol, vitamin B12 and folate in the Hispanic Community Health Study/Study of Latinos
Measurement error is a major issue in self-reported diet that can distor...
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09/28/2021
Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes
Electronic health record (EHR) data are increasingly used for biomedical...
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08/30/2021
Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
The growing availability of observational databases like electronic heal...
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06/17/2021
Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall
The R package optimall offers a collection of functions that efficiently...
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06/12/2020
Improved Generalized Raking Estimators to Address Dependent Covariate and Failure-Time Outcome Error
Biomedical studies that use electronic health records (EHR) data for inf...
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05/12/2020
Two-phase analysis and study design for survival models with error-prone exposures
Increasingly, medical research is dependent on data collected for non-re...
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04/02/2020
An Approximate Quasi-Likelihood Approach for Error-Prone Failure Time Outcomes and Exposures
Measurement error arises commonly in clinical research settings that rel...
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10/02/2019
Combining multiple imputation with raking of weights in the setting of nearly-true models
Raking of weights is one approach to using data from the full cohort in ...
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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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05/20/2019
Raking and Regression Calibration: Methods to Address Bias from Correlated Covariate and Time-to-Event Error
Medical studies that depend on electronic health records (EHR) data are ...
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02/28/2018