Results 61 to 70 of about 4,713,645 (328)
Profiles on Adolescent Internet Addiction: A Taxonomy with Latent Profiling Analysis
Acta Médica Portuguesa, 2022 Introduction: Addictive use of the Internet among adolescents has been linked to a negative psychosocial development, but more detailed information about Internet addiction (IA) profiles is warranted. The aim of this study was to identify IA profiles in
Miguel Vieira Martins +3 more
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The R Journal, 2018 We discuss implementation of a profile likelihood method for estimating a Pearson correlation coefficient from bivariate data with censoring and/or missing values.
Yanming Li +3 more
semanticscholar +1 more source
American Journal of Men's Health, 2020 Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men.
Francisco A. Montiel Ishino PhD, MPH +6 more
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Forensic Science International: Reports, 2021 The developmental validation of the software DBLR™ (‘database likelihood ratios’) is described. DBLR™ implements a flexible framework for the assignment of likelihood ratios for forensic DNA profiles. This framework allows the user to assign a likelihood
Hannah Kelly +4 more
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Information Bias and Adjusted Profile Likelihoods
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996 SUMMARY The bias and information bias of the ordinary profile score statistic are both typically of order O(1). Several additive adjustments to the profile score statistic that reduce its bias to order O(n −1) have been proposed. In certain situations, the information bias of these adjusted profile score statistics is also reduced to ...
DiCiccio, Thomas J. +3 more
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Modified likelihood approach for Wald-typed interval of the shape parameter in Weibull distribution
AIMS MathematicsThe Weibull distribution, widely used in lifetime analysis, is characterized by its shape parameter. We analytically derived Wald-type confidence intervals using standard and modified profile likelihood methods.
Patchanok Srisuradetchai +2 more
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Subtracting and Fitting Histograms using Profile Likelihood [PDF]
, 2008 It is known that many interesting signals expected at LHC are of unknown shape and strongly contaminated by background events. These signals will be dif cult to detect during the rst years of LHC operation due to the initial low luminosity. In this work,
D'Almeida, F M L, Nepomuceno, A A
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Profile Likelihood and Conditionally Parametric Models
The Annals of Statistics, 1992 The authors outline a general approach to estimating the parametric component of a semiparametric model. For the case of a scalar parametric component the method is based on the idea of first estimating a one- dimensional subproblem of the original problem that is least favorable in the sense of \textit{C. Stein} [Proc. Third Berkeley Sympos.
Severini, Thomas A., Wong, Wing Hung
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Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Empirical likelihood for varying coefficient partially nonlinear model with missing responses
AIMS Mathematics, 2021 In this paper, we consider the statistical inferences for varying coefficient partially nonlinear model with missing responses. Firstly, we employ the profile nonlinear least squares estimation based on the weighted imputation method to estimate the ...
Liqi Xia +3 more
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