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Adjustments of the profile likelihood from a new perspective
, 2006 Various modifications of the profile likelihood have been proposed over the past 20 years. Their main theoretical basis is higher-order approximation of some target likelihood, defined by a suitable model reduction via conditioning or marginalisation ...
PACE, Luigi +3 more
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Estimated parameters versus the profile likelihood function for South Korea.
, 2022 (a), (b) and (c) show the graphs of estimated parameters versus profile likelihood function for the first, second, and third waves, respectively.
Masud M. A. (13570175) +4 more
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Vocational Profile and Correlates of Employment in People With Schizophrenia: The Role of Avolition
Frontiers in Psychiatry, 2020 ObjectiveEmployment was associated with recovery in individuals with schizophrenia. Our study aimed to delineate the vocational profile and investigate factors associated with likelihood of employment in individuals with schizophrenia.Materials and ...
Mei San Ang +4 more
doaj +1 more source
A Profile Likelihood Approach for Longitudinal Data Analysis
Biometrics, 2017 SummaryInappropriate choice of working correlation structure in generalized estimating equations (GEE) could lead to inefficient parameter estimation while impractical normality assumption in likelihood approach would limit its applicability in longitudinal data analysis. In this article, we propose a profile likelihood method for estimating parameters
Ziqi Chen, Man-Lai Tang, Wei Gao
openaire +2 more sources
Profile-kernel likelihood inference with diverging number of parameters
, 2008 The generalized varying coefficient partially linear model with growing number of predictors arises in many contemporary scientific endeavor. In this paper we set foot on both theoretical and practical sides of profile likelihood estimation and inference.
Lam, Clifford, Fan, Jianqing
core +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
IET Radar, Sonar & NavigationA novel two‐stage profile maximum likelihood estimator is proposed to estimate the source location and the systematic errors jointly, with the aim of addressing the problem of source localisation using angle‐only measurements from a single sensor with ...
Heng‐Yu Hu +2 more
doaj +1 more source
A Profile Likelihood Theory for the Correlated Gamma-Frailty Model with Current Status Family Data
, 2011 99學年度溫啟仲教師升等參考著作A profile likelihood inference is made for the regression coefficient and frailty parameters in the correlated gamma-frailty model for current status family data. With the introduction of an identifiability assumption, the identifiability
Chang, I-shou; Wen, Chi-chung; Wu, Yuh-jenn
core
Monte Carlo modified profile likelihood in models for clustered data [PDF]
, 2019 The main focus of the analysts who deal with clustered data is usually not on the clustering variables, and hence the group-specific parameters are treated as nuisance. If a fixed effects formulation is preferred and the total number of clusters is large
Di Caterina, C. +5 more
core +1 more source