Results 61 to 70 of about 12,200,920 (299)
Classification of household poverty in West Java using the generalized mixed-effects trees model
Jurnal Natural, 2023 Dealing with fixed effects and random effects can be accomplished by combining statistical modeling and machine learning techniques. This paper discusses the modeling of fixed effects and random effects using a statistical machine-learning approach.
FARDILLA RAHMAWATI +2 more
doaj +1 more source
Parametrizations, fixed and random effects
Journal of Multivariate Analysis, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dermoune, Azzouz, Preda, Cristian
openaire +4 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Strong reductions in effective randomness
Theoretical Computer Science, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laurent Bienvenu, Christopher P. Porter
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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Simulation comparison of the quality effects and random effects methods of meta-analysis
, 2015 This is an editorial note/letter on Simulation Comparison of the Quality Effects and Random Effects Methods of ...
Doi, Suhail A. R. +4 more
core +1 more source
Linear Mixed Models: Gum and Beyond
Measurement Science Review, 2014 In Annex H.5, the Guide to the Evaluation of Uncertainty in Measurement (GUM) [1] recognizes the necessity to analyze certain types of experiments by applying random effects ANOVA models.
Arendacká Barbora +4 more
doaj +1 more source
Bayesian exponential random graph models with nodal random effects [PDF]
Social Networks, 2016 We extend the well-known and widely used Exponential Random Graph Model (ERGM) by including nodal random effects to compensate for heterogeneity in the nodes of a network. The Bayesian framework for ERGMs proposed by Caimo and Friel (2011) yields the basis of our modelling algorithm.
Stephanie Thiemichen +3 more
openaire +7 more sources
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Ecology and EvolutionCorrelations between annual recovery and survival probabilities estimated from tag‐recovery data have been used to quantify the demographic response of exploited populations to harvest. Deane et al.
Cody E. Deane +5 more
doaj +1 more source