A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models. [PDF]
Cassidy T +6 more
europepmc +1 more source
Accessible analysis of longitudinal data with linear mixed effects models. [PDF]
Murphy JI, Weaver NE, Hendricks AE.
europepmc +1 more source
Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. [PDF]
Pala D +5 more
europepmc +1 more source
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Rating norms should be calculated from cumulative link mixed effects models. [PDF]
Taylor JE +3 more
europepmc +1 more source
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Joint mixed-effects models for causal inference in clustered network-based observational studies. [PDF]
McNealis V, Moodie EE, Dean N.
europepmc +1 more source
Towards Model-Informed Precision Dosing of Voriconazole: Challenging Published Voriconazole Nonlinear Mixed-Effects Models with Real-World Clinical Data. [PDF]
Kluwe F +5 more
europepmc +1 more source
Inference in Mixed Proportional Hazard Models with K Random Effects [PDF]
A general formulation of Mixed Proportional Hazard models with K random effects is provided. It enables to account for a population stratified at K different levels.
Guillaume Horny.
core

