Semiparametric profile likelihood estimation for continuous outcomes with excess zeros in a random-threshold damage-resistance model.
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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… read more here.
Keywords: semiparametric profile; model; resistance; profile likelihood ... See more keywords
Approximate profile likelihood estimation for Cox regression with covariate measurement error
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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,… read more here.
Keywords: regression; approximate profile; measurement error; error ... See more keywords
Surveillance for endemic infectious disease outbreaks: Adaptive sampling using profile likelihood estimation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: location; disease; endemic infectious; likelihood ... See more keywords
Determination of Hubble constant from Megamaser Cosmology Project using profile likelihood
Sign Up to like & getrecommendations! Published in 2025 at "Astrophysics and Space Science"
DOI: 10.1007/s10509-025-04454-3
Abstract: The Megamaser Cosmology Project inferred a value for the Hubble constant given by H0=73.9±3.0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$H_{0}=73.9 \pm 3.0 $\end{document} km/sec/Mpc. This value was obtained using Bayesian inference by… read more here.
Keywords: cosmology; profile likelihood; usepackage; megamaser cosmology ... See more keywords
Image registration: Maximum likelihood, minimum entropy and deep learning
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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… read more here.
Keywords: image; profile likelihood; likelihood; maximum likelihood ... See more keywords
Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: profile likelihood; survival data; frailty models; semiparametric copula ... See more keywords
Modified profile likelihood estimation for the Weibull regression models in survival analysis
Sign Up to like & getrecommendations! 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… read more here.
Keywords: weibull regression; profile likelihood; modified profile; regression models ... See more keywords
Comparison of profile-likelihood-based confidence intervals with other rank-based methods for the two-sample problem in ordered categorical data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: relative effect; profile likelihood; test;
Profile likelihoods in cosmology: When, why, and how illustrated with ΛCDM , massive neutrinos, and dark energy
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DOI: 10.1103/physrevd.111.083504
Abstract: Frequentist parameter inference using profile likelihoods has received increased attention in the cosmology literature recently since it can give important complementary information to Bayesian credible intervals. Here, we give a pedagogical review of frequentist parameter… read more here.
Keywords: parameter; dark energy; profile; cosmology ... See more keywords
Search for low-mass dark matter with CDMSlite using a profile likelihood fit
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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;… read more here.
Keywords: profile likelihood; dark matter; search low; low mass ... See more keywords
Fairness Evaluation of Neural Networks Through Computational Profile Likelihood
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DOI: 10.1111/coin.70124
Abstract: Despite high predictive performance, machine learning models can be unfair towards specific demographic subgroups characterized by sensitive attributes such as gender or race. This paper presents a novel approach using Computational Profile Likelihood (CPL) to… read more here.
Keywords: sensitive attribute; computational profile; profile likelihood; sensitive attributes ... See more keywords