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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7237
Abstract: Continuous outcome data with a proportion of observations equal to zero (often referred to as semicontinuous data) arise frequently in biomedical studies. Typical approaches involve two-part models, with one part a logistic model for the…
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Keywords:
semiparametric profile;
model;
resistance;
profile likelihood ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9324
Abstract: In nutritional epidemiology, measurement error in covariates is a well‐known problem since dietary intakes are usually assessed through self‐reporting. In this article, we consider an additive error model in which error variables are highly correlated,…
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Keywords:
regression;
approximate profile;
measurement error;
error ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9420
Abstract: Outbreaks of an endemic infectious disease can occur when the disease is introduced into a highly susceptible subpopulation or when the disease enters a network of connected individuals. For example, significant HIV outbreaks among people…
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Keywords:
location;
disease;
endemic infectious;
likelihood ... See more keywords
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Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101939
Abstract: In this work, we propose a theoretical framework based on maximum profile likelihood for pairwise and groupwise registration. By an asymptotic analysis, we demonstrate that maximum profile likelihood registration minimizes an upper bound on the…
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Keywords:
image;
profile likelihood;
likelihood;
maximum likelihood ... See more keywords
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Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1601688
Abstract: ABSTRACT In clustered survival data, the dependence among individual survival times within a cluster has usually been described using copula models and frailty models. In this paper we propose a profile likelihood approach for semiparametric…
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Keywords:
profile likelihood;
survival data;
frailty models;
semiparametric copula ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1472784
Abstract: Abstract In this study, adjustment of profile likelihood function of parameter of interest in presence of many nuisance parameters is investigated for survival regression models. Our objective is to extend the Barndorff–Nielsen’s technique to Weibull…
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Keywords:
weibull regression;
profile likelihood;
modified profile;
regression models ... See more keywords
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Published in 2022 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2022.2152831
Abstract: ABSTRACT For ordered categorical data from randomized clinical trials, the relative effect, the probability that observations in one group tend to be larger, has been considered appropriate for a measure of an effect size. Although…
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Keywords:
relative effect;
profile likelihood;
test;
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Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.062001
Abstract: Author(s): Agnese, R; Aralis, T; Aramaki, T; Arnquist, IJ; Azadbakht, E; Baker, W; Banik, S; Barker, D; Bauer, DA; Binder, T; Bowles, MA; Brink, PL; Bunker, R; Cabrera, B; Calkins, R; Cameron, RA; Cartaro, C;…
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Keywords:
profile likelihood;
dark matter;
search low;
low mass ... See more keywords
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Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0210953
Abstract: This study was inspired by the need to estimate pointwise confidence intervals (CIs) for a nonlinear dose-response model from a dose-finding clinical trial. Profile likelihood based CI for a nonlinear dose response model is often…
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Keywords:
dose response;
likelihood based;
response;
profile likelihood ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.25534/tuprints-00011713
Abstract: Abstract This paper introduces the profile likelihood method in order to assess simultaneously the parameter identifiability and the state observability for nonlinear dynamic state-space models with constant parameters. While a formal definition of a parameter’s…
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Keywords:
profile likelihood;
identifiability;
observability;
using profile ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14112369
Abstract: We consider inference based on the profile likelihood function for the scale parameter of the generalized logistic distribution. This distribution is a generalization of the logistic distribution, a symmetric distribution like the normal distribution, and…
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Keywords:
logistic distribution;
generalized logistic;
likelihood;
scale parameter ... See more keywords