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09/20/2023
Optimizing Dynamic Predictions from Joint Models using Super Learning
Joint models for longitudinal and time-to-event data are often employed ...
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09/05/2023
Using Joint Models for Longitudinal and Time-to-Event Data to Investigate the Causal Effect of Salvage Therapy after Prostatectomy
Prostate cancer patients who undergo prostatectomy are closely monitored...
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07/28/2023
A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
Intensive longitudinal data (ILD) collected in mobile health (mHealth) s...
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11/28/2022
Surrogacy Validation for Time-to-Event Outcomes with Illness-Death Frailty Models
A common practice in clinical trials is to evaluate a treatment effect o...
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09/01/2022
Understanding the dynamic impact of COVID-19 through competing risk modeling with bivariate varying coefficients
The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound ...
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06/12/2021
Regression inference for multiple populations by integrating summary-level data using stacked imputations
There is a growing need for flexible general frameworks that integrate i...
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04/27/2021
Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
A surrogate endpoint S in a clinical trial is an outcome that may be mea...
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03/02/2021
Multiple imputation with missing data indicators
Multiple imputation is a well-established general technique for analyzin...
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01/20/2021
Accounting for not-at-random missingness through imputation stacking
Not-at-random missingness presents a challenge in addressing missing dat...
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10/20/2020
An ensemble meta-prediction framework to integrate multiple external models into a current study
Disease risk prediction models are used throughout clinical biomedicine....
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08/10/2020
Using Multiple Imputation to Classify Potential Outcomes Subgroups
With medical tests becoming increasingly available, concerns about over-...
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10/10/2019
