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07/10/2023
Partial identification for discrete data with nonignorable missing outcomes
Nonignorable missing outcomes are common in real world datasets and ofte...
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09/30/2022
Defining a credible interval is not always possible with "point-null” priors: A lesser-known consequence of the Jeffreys-Lindley paradox
In many common situations, a Bayesian credible interval will be, given t...
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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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08/29/2022
Methodological concerns about 'concordance-statistic for benefit' as a measure of discrimination in treatment benefit prediction
Prediction algorithms that quantify the expected benefit of a given trea...
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08/05/2022
Value of Information Analysis for External Validation of Risk Prediction Models
Background: Before being used to inform patient care, a risk prediction ...
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05/12/2022
Closed-Form Solution of the Unit Normal Loss Integral in Two-Dimensions
In Value of Information (VoI) analysis, the unit normal loss integral (U...
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04/12/2022
Bayes factors and posterior estimation: Two sides of the very same coin
Recently, several researchers have claimed that conclusions obtained fro...
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11/02/2021
Adjusting for misclassification of an exposure in an individual participant data meta-analysis
A common problem in the analysis of multiple data sources, including ind...
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10/21/2021
Combining Parametric and Nonparametric Models to Estimate Treatment Effects in Observational Studies
Performing causal inference in observational studies requires we assume ...
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08/17/2021
Hybrid dynamical type theories for navigation
We present a hybrid dynamical type theory equipped with useful primitive...
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06/20/2021
Uncertainty and Value of Perfect Information in Risk Prediction Modeling
Background: Predicted probabilities from a risk prediction model are ine...
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04/16/2021
re:Linde et al. (2021) – The Bayes factor, HDI-ROPE and frequentist equivalence testing are actually all equivalent
Following an extensive simulation study comparing the operating characte...
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11/14/2020
Measurement Error in Meta-Analysis (MEMA) – a Bayesian framework for continuous outcome data
Ideally, a meta-analysis will summarize data from several unbiased studi...
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09/25/2020
Parameter Restrictions for the Sake of Identification: Is there Utility in Asserting that Perhaps a Restriction Holds?
Statistical modeling can involve a tension between assumptions and stati...
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05/18/2020
Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate: Theory and methods
A key challenge in estimating the infection fatality rate (IFR) of COVID...
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05/07/2020
Conley's fundamental theorem for a class of hybrid systems
We establish versions of Conley's (i) fundamental theorem and (ii) decom...
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01/02/2020
Concentration of Benefit index: A threshold-free summary metric for quantifying the capacity of covariates to yield efficient treatment rules
When data on treatment assignment, outcomes, and covariates from a rando...
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11/04/2019
Formal composition of hybrid systems
We develop a compositional framework for formal synthesis of hybrid syst...
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01/31/2019
Logistic Box-Cox Regression to Assess the Shape and Median Effect under Uncertainty about Model Specification
The shape of the relationship between a continuous exposure variable and...
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01/16/2019
Novel metrics for quantifying the capacity of subgroup-defining variables to yield efficient treatment rules
A major objective of subgroup analysis in clinical trials is to explore ...
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07/09/2018
What to make of non-inferiority and equivalence testing with a post-specified margin?
In order to determine whether or not an effect is absent based on a stat...
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03/16/2018