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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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08/31/2022
Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model
Active surveillance (AS), where biopsies are conducted to detect cancer ...
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07/25/2019
JointAI: Joint Analysis and Imputation of Incomplete Data in R
Missing data occur in many types of studies and typically complicate the...
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07/12/2019
Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
Background: Low-risk prostate cancer patients enrolled in active surveil...
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08/23/2018
Joint Models with Multiple Longitudinal Outcomes and a Time-to-Event Outcome
Joint models for longitudinal and survival data have garnered a lot of a...
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04/06/2018
Individualized Dynamic Prediction of Survival under Time-Varying Treatment Strategies
Often in follow-up studies intermediate events occur in some patients, s...
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02/27/2018
Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes
Cystic fibrosis is a chronic lung disease which requires frequent patien...
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11/01/2017