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20132026
most citedJoint Models with Multiple Longitudinal Outcomes and a Time-to-Event Outcome: a Corrected Two-Stage Approach

55 citations · 116 across the 17 of their papers we have counts for

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9 papers · 1 filter

stat.AP2023

Using Joint Models for Longitudinal and Time-to-Event Data to Investigate the Causal Effect of Salvage Therapy after Prostatectomy

Dimitris Rizopoulos, Jeremy M. G. Taylor, Grigorios Papageorgiou +1

Prostate cancer patients who undergo prostatectomy are closely monitored for recurrence and metastasis using routine prostate-specific antigen (PSA) measurements. When PSA levels r…

stat.AP2019

Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs

Anirudh Tomer, Dimitris Rizopoulos, Daan Nieboer +3

Background: Low-risk prostate cancer patients enrolled in active surveillance programs commonly undergo biopsies for examination of cancer progression. Biopsies are conducted as pe…

stat.AP2018

Individualized Dynamic Prediction of Survival under Time-Varying Treatment Strategies

Grigorios Papageorgiou, Mostafa M. Mokhles, Johanna J. M. Takkenberg +1

Often in follow-up studies intermediate events occur in some patients, such as reinterventions or adverse events. These intermediate events directly affect the shapes of their long…

stat.AP2018

Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes

Eleni-Rosalina Andrinopoulou, Kazem Nasserinejad, Rhonda Szczesniak +1

Cystic fibrosis is a chronic lung disease which requires frequent patient monitoring to maintain lung function over time and minimize onset of acute respiratory events known as pul…

stat.AP2017

Personalized Schedules for Surveillance of Low Risk Prostate Cancer Patients

Anirudh Tomer, Daan Nieboer, Monique J. Roobol +2

Low risk prostate cancer patients enrolled in active surveillance (AS) programs commonly undergo biopsies on a frequent basis for examination of cancer progression. AS programs emp…

stat.AP2016

Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-Varying Effects using P-splines

Eleni-Rosalina Andrinopoulou, Paul H. C. Eilers, Johanna J. M. Takkenberg +1

In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The motivation for our research comes from a study which includes patients who receive…