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05/14/2023
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
Generalized linear mixed models (GLMMs) are widely used in research for ...
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05/14/2023
Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
Modern biomedical datasets are increasingly high dimensional and exhibit...
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03/09/2023
LEAP: The latent exchangeability prior for borrowing information from historical data
It is becoming increasingly popular to elicit informative priors on the ...
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02/28/2023
Optimal Priors for the Discounting Parameter of the Normalized Power Prior
The power prior is a popular class of informative priors for incorporati...
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07/18/2022
Deeply-Learned Generalized Linear Models with Missing Data
Deep Learning (DL) methods have dramatically increased in popularity in ...
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12/29/2021
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models
The R package BayesPPD (Bayesian Power Prior Design) supports Bayesian p...
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07/23/2021
A hierarchical prior for generalized linear models based on predictions for the mean response
There has been increased interest in using prior information in statisti...
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05/11/2021
The scale transformed power prior for use with historical data from a different outcome model
We develop the scale transformed power prior for settings where historic...
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01/18/2021
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders
Electronic Health Records (EHRs) are commonly used to investigate relati...
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10/26/2020
Bayesian Multivariate Probability of Success Using Historical Data with Strict Control of Family-wise Error Rate
Given the cost and duration of phase III and phase IV clinical trials, t...
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04/30/2020
On the normalized power prior
The power prior is a popular tool for constructing informative prior dis...
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01/25/2018