Results 101 to 110 of about 18,112,323 (302)
Mixed effect models in distance sampling [PDF]
, 2013 Recently, much effort has been expended for improving conventional distance sampling methods, e.g. by replacing the design-based approach with a model-based approach where observed counts are related to environmental covariates (Hedley and Buckland, 2004)
Oedekoven, Cornelia Sabrina
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Estimation of genetic parameters in rubber progenies
Crop Breeding and Applied Biotechnology, 2012 This study was designed to evaluate the genetic variability, the potential for rubber yield and secondary traits of rubber tree progenies at three locations in the state of Sao Paulo.
Cecília Khusala Verardi +3 more
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Bayes factor for linear mixed model in genetic association studies
Quantitative BiologyBayes factor has advantages over p‐value as test statistics for association, particularly when comparing multiple non‐nested alternative models.
Yongtao Guan, Daniel Levy
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Ekonometria, 2020 The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects.
Małgorzata K. Krzciuk
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Correction: Quantifier spreading: Children misled by ostensive cues
Glossa, 2019 This article details a correction to the article É. Kiss, Katalin & Tamás Zétényi. 2017. Quantifier spreading: children misled by ostensive cues. Glossa: A Journal of General Linguistics 2(1). 38.
Katalin É. Kiss +2 more
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Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models [PDF]
, 2012 This paper describes how to perform classification of complex, high-dimensional functional data using the functional mixed model (FMM) framework. The FMM relates a functional response to a set of predictors through functional fixed and random effects ...
Morris, Jeffrey S. +5 more
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Sample size calculation in multi-centre clinical trials
BMC Medical Research Methodology, 2018 Background Multi-centre randomized controlled clinical trials play an important role in modern evidence-based medicine. Advantages of collecting data from more than one site are numerous, including accelerated recruitment and increased generalisability ...
Markus Harden, Tim Friede
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Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Smoothing with Mixed Model Software [PDF]
Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing.
Matthew P. Wand, Long Ngo
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