55 citations · 116 across the 17 of their papers we have counts for
17 papers
Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data
Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers +2
The experience sampling method (ESM) is a longitudinal research design where participants report their thoughts, emotional states and behaviours multiple times a day. Our work is m…
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…
Optimizing Dynamic Predictions from Joint Models using Super Learning
Dimitris Rizopoulos, Jeremy M. G. Taylor
Joint models for longitudinal and time-to-event data are often employed to calculate dynamic individualized predictions used in numerous applications of precision medicine. Two com…
Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model
Zhenwei Yang, Dimitris Rizopoulos, Eveline A. M. Heijnsdijk +2
Active surveillance (AS), where biopsies are conducted to detect cancer progression, has been acknowledged as an efficient way to reduce the overtreatment of prostate cancer. Most…
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…
JointAI: Joint Analysis and Imputation of Incomplete Data in R
Nicole S. Erler, Dimitris Rizopoulos, Emmanuel M. E. H. Lesaffre
Missing data occur in many types of studies and typically complicate the analysis. Multiple imputation, either using joint modelling or the more flexible fully conditional specific…