research
∙
08/09/2023
Harmonized Estimation of Subgroup-Specific Treatment Effects in Randomized Trials: The Use of External Control Data
Subgroup analysis of randomized controlled trials (RCTs) constitutes an ...
share
research
∙
08/08/2022
Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics
The use of simulation-based sensitivity analyses is fundamental to evalu...
research
∙
03/09/2022
Bayesian Multi-Arm De-Intensification Designs
In recent years new cancer treatments improved survival in multiple hist...
research
∙
02/03/2022
Cross-Study Replicability in Cluster Analysis
In cancer research, clustering techniques are widely used for explorator...
research
∙
06/25/2021
Prediction of Hereditary Cancers Using Neural Networks
Family history is a major risk factor for many types of cancer. Mendelia...
research
∙
05/24/2021
Approximating the Operating Characteristics of Bayesian Uncertainty Directed Trial Designs
Bayesian response adaptive clinical trials are currently evaluating expe...
research
∙
12/18/2020
Interpretable Model Summaries Using the Wasserstein Distance
In the current computing age, models can have hundreds or even thousands...
research
∙
07/31/2020
Combining Breast Cancer Risk Prediction Models
Accurate risk stratification is key to reducing cancer morbidity through...
research
∙
07/24/2020
Cross-study learning for generalist and specialist predictions
Jointly using data from multiple similar sources for the training of pre...
research
∙
07/24/2020
Bayesian Combinatorial Multi-Study Factor Analysis
Analyzing multiple studies allows leveraging data from a range of source...
research
∙
07/16/2020
Integration of Survival Data from Multiple Studies
We introduce a statistical procedure that integrates survival data from ...
research
∙
02/01/2019
Bayesian optimality of testing procedures for survival data
Most statistical tests for treatment effects used in randomized clinical...
research
∙
06/29/2018
Bayesian Uncertainty Directed Trial Designs
Most Bayesian response-adaptive designs unbalance randomization rates to...
research
∙
06/26/2018
Bayesian Multi-study Factor Analysis for High-throughput Biological Data
This paper presents a new modeling strategy for joint unsupervised analy...
research
∙
11/03/2017
Bayesian Nonparametric Mixed Effects Models in Microbiome Data Analysis
Detecting associations between microbial composition and sample characte...
research
∙
01/12/2016
