Dynamic prediction of survival using multivariate functional principal component analysis: A strict landmarking approach
Dynamically predicting patient survival probabilities using longitudinal measurements has
become of great importance with routine data collection becoming more common. Many …
become of great importance with routine data collection becoming more common. Many …
A comparison of two approaches to dynamic prediction: Joint modeling and landmark modeling
Joint modeling and landmark modeling are two mainstream approaches to dynamic
prediction in longitudinal studies, that is, the prediction of a clinical event using longitudinally …
prediction in longitudinal studies, that is, the prediction of a clinical event using longitudinally …
Dynamic prediction using landmark historical functional Cox regression
A Leroux, C Crainiceanu - Journal of Computational and Graphical …, 2024 - Taylor & Francis
Dynamic prediction of survival data in the presence of time-varying covariates is an area of
active research. Two common analytic approaches for this type of data are joint modeling of …
active research. Two common analytic approaches for this type of data are joint modeling of …
Association of serum AFP trajectories and hepatocellular carcinoma outcomes after hepatic arterial infusion chemotherapy: A longitudinal, multicenter study
C An, R Wei, W Yao, W Han, W Li, G Shi… - Cancer …, 2024 - Wiley Online Library
Aim This study aims to investigate α‐fetoprotein (AFP) trajectories for prediction of survival
outcomes after hepatic arterial infusion chemotherapy (HAIC) treatment in large …
outcomes after hepatic arterial infusion chemotherapy (HAIC) treatment in large …
Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis
In modern high‐throughput plant phenotyping, images of plants of different genotypes are
repeatedly taken throughout the growing season, and phenotypic traits of plants (eg, plant …
repeatedly taken throughout the growing season, and phenotypic traits of plants (eg, plant …
GPU accelerated estimation of a shared random effect joint model for dynamic prediction
In longitudinal cohort studies, it is often of interest to predict the risk of a terminal clinical
event using longitudinal predictor data among subjects at risk by the time of the prediction …
event using longitudinal predictor data among subjects at risk by the time of the prediction …
Retarded kernels for longitudinal survival analysis and dynamic prediction
Predicting patient survival probabilities based on observed covariates is an important
assessment in clinical practice. These patient-specific covariates are often measured over …
assessment in clinical practice. These patient-specific covariates are often measured over …
STATISTICAL METHODS FOR THE ANALYSIS OF FUNCTIONAL DATA UNDER MODELS WITH COMPLEX ASSOCIATION STRUCTURES
A Leroux - 2020 - jscholarship.library.jhu.edu
High dimensional data play an ever increasing role in the study of human health and
behavior. Recent technological advances have presented researchers with increasing …
behavior. Recent technological advances have presented researchers with increasing …