Penalized regression calibration: A method for the prediction of survival outcomes using complex longitudinal and high-dimensional data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9178
Abstract: Longitudinal and high-dimensional measurements have become increasingly common in biomedical research. However, methods to predict survival outcomes using covariates that are both longitudinal and high-dimensional are currently missing. In this article, we propose penalized regression… read more here.
Keywords: penalized regression; high dimensional; outcomes using; longitudinal high ... See more keywords
Association of Longitudinal High Sensitive C-Reactive Protein Levels with Changing Membrane Characteristics in Peritoneal Dialysis.
Sign Up to like & getrecommendations! Published in 2022 at "Artificial organs"
DOI: 10.1111/aor.14438
Abstract: BACKGROUND Increasing peritoneal permeability with ultrafiltration and solute removal inadequacy is a challenging issue in peritoneal dialysis (PD). Decreasing permeability is less frequent but also results in diminished solute clearance. We evaluated the association between… read more here.
Keywords: high sensitive; crp values; peritoneal dialysis; longitudinal high ... See more keywords
Joint principal trend analysis for longitudinal high-dimensional data.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12751
Abstract: We consider a research scenario motivated by integrating multiple sources of information for better knowledge discovery in diverse dynamic biological processes. Given two longitudinal high-dimensional datasets for a group of subjects, we want to extract… read more here.
Keywords: high dimensional; longitudinal high; principal trend; joint principal ... See more keywords