Results 91 to 100 of about 24,949,533 (304)

Default Bayesian model determination methods for generalised linear mixed models

, 2010
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation.
Overstall, Anthony M., Overstall, Antony, Forster, Jonathan, Overstall, Antony M., Forster, Jonathan J.   +4 more
core   +1 more source

Systematic analyses of the factors influencing sperm quality in patients with SARS-CoV-2 infection

Scientific Reports
To figure out how does SARS-CoV-2 affect sperm parameters and what influencing factors affect the recovery of sperm quality after infection? We conducted a prospective cohort study and initially included 122 men with SARS-CoV-2 infection.
Guohui Zhang, Weiwei Zhi, Fei Ye, Dongsheng Xiong, Yanan Zhang, Fulin Liu, Yuhong Zhao, Xinrong Du, Yang Wu, Mingxia Hou, Jiu Liu, Jiajing Wei, Yangzhong Silang, Wenming Xu, Jiuzhi Zeng, Shiqi Chen, Weixin Liu   +16 more
doaj   +1 more source

Fiducial Inference in Linear Mixed-Effects Models

Entropy
We develop a novel framework for fiducial inference in linear mixed-effects (LME) models, with the standard deviation of random effects reformulated as coefficients. The exact fiducial density is derived as the equilibrium measure of a reversible Markov chain over the parameter space.
Jie Yang, Xinmin Li, Hongwei Gao, Chenchen Zou   +3 more
openaire   +3 more sources

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

linear mixed effects model dataset

, 2019
Contains data on Shannons index, simpsons, evenness, year of measurement, plot ID, and section within plot for running linear mixed effects model on ...
Vithya Krishnan (7062425), Krishnan, Vithya   +1 more
core   +1 more source

Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]

, 2011
We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven, Wiencierz, Andrea, Küchenhoff, Helmut, Andrea Wiencierz, Helmut Küchenhoff, Greven, Sonja   +5 more
core   +1 more source

06 - T. Bernaisch: Comparing generalised linear mixed-effects models, generalised linear mixed-effects model trees and random forests

, 2022
Supplementary material for Bernaisch (2022) "Comparing Generalised Linear Mixed-Effects Models, Generalised Linear Mixed-Effects Model Trees and Random Forests." In: Schützler and Schlüter, eds.
Ole Schützler, Julia Schlüter
core   +3 more sources

A Data-Driven Comparison of Linear Mixed Model and Mixed Effects Regression Tree Approaches for Dairy Productivity Analysis

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Dairy productivity studies often involve hierarchical and longitudinal data structures that violate the assumptions of linear regression. This study compares two modeling approaches, Linear Mixed Model (LMM) and Mixed Effects Regression Tree (MERT), in ...
Achmad Fauzan, Fatkhurokhman Fauzi, Rhendy K P Widiyanto, Khairil Anwar Notodiputro, Bagus Sartono   +4 more
doaj   +1 more source

Pharmacokinetics of vancomycin in patients with different renal function levels

Open Medicine, 2018
There are many determinants of vancomycin clearance, but these have not been analyzed separately in populations with different levels of renal function, which could be why some important factors have been missed.
Zaric Radica Zivkovic, Milovanovic Jasmina, Rosic Nikola, Milovanovic Dragan, Zecevic Dejana Ruzic, Folic Marko, Jankovic Slobodan   +6 more
doaj   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source