Results 211 to 220 of about 5,219,358 (316)
Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster-Level Interaction Effects and Small Sample Sizes. [PDF]
Shin D, Shin Y, Hagiwara N.
europepmc +1 more source
The Application of the Log-linear Model To the Analysis of Spatial Data [PDF]
Robert G. Reynolds
openalex +1 more source
In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim+11 more
wiley +1 more source
Aligning phenotypic and genetic trends: comparing trends from threshold and linear models in pigs. [PDF]
Cesarani A+6 more
europepmc +1 more source
Optimal designs for linear mixture models [PDF]
E. J. Mendieta+2 more
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ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma
In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee+9 more
wiley +1 more source
A refined spirometry dataset for comparing segmented (piecewise) linear models to that of GAMLSS. [PDF]
Zavorsky GS.
europepmc +1 more source
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source
The comparisons of non-linear models to describe the growth performance of Lori-Bakhtiari sheep. [PDF]
Foroutanifar S, Khaldari M.
europepmc +1 more source