LAUSR

Generalized, Linear Hyperkeratotic Papules With Numerous White Spicules and Comedo-like Plugs.

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2 Published in 2023 at "JAMA dermatology"

DOI: 10.1001/jamadermatol.2022.5773

Abstract: A school-aged boy presents with generalized, linear hyperkeratotic papules with numerous central small filiform keratotic white spicules and brown plugs on the head, face, neck, trunk, and bilateral upper and lower extremities. What is your… read more here.

Keywords: generalized linear; papules numerous; white spicules; hyperkeratotic papules ... See more keywords

Diet analysis using generalized linear models derived from foraging processes using R package mvtweedie.

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1 Published in 2022 at "Ecology"

DOI: 10.1002/ecy.3637

Abstract: Diet analysis integrates a wide variety of visual, chemical and biological identification of prey. Samples are often treated as compositional data, where each prey is analyzed as a continuous percentage of the total. However, analyzing… read more here.

Keywords: diet analysis; generalized linear; package mvtweedie; analysis using ... See more keywords

The total cost of misclassification in credit scoring: A comparison of generalized linear models and generalized additive models

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0 Published in 2019 at "Journal of Forecasting"

DOI: 10.1002/for.2545

Abstract: This study examines whether the evaluation of a bankruptcy prediction model should take into account the total cost of misclassification. For this purpose, we introduce and apply a validity measure in credit scoring that is… read more here.

Keywords: cost misclassification; generalized linear; total cost; generalized additive ... See more keywords

Semiparametric analysis of a generalized linear model with multiple covariates subject to detection limits

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1 Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9536

Abstract: Studies on the health effects of environmental mixtures face the challenge of limit of detection (LOD) in multiple correlated exposure measurements. Conventional approaches to deal with covariates subject to LOD, including complete‐case analysis, substitution methods,… read more here.

Keywords: generalized linear; covariates subject; model multiple; linear model ... See more keywords

Bayesian generalized linear low rank regression models for the detection of vaccine‐adverse event associations

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2 Published in 2023 at "Statistics in Medicine"

DOI: 10.1002/sim.9711

Abstract: We propose a generalized linear low‐rank mixed model (GLLRM) for the analysis of both high‐dimensional and sparse responses and covariates where the responses may be binary, counts, or continuous. This development is motivated by the… read more here.

Keywords: generalized linear; regression; event; vaccine adverse ... See more keywords

The stochastic restricted ridge estimator in generalized linear models

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0 Published in 2019 at "Statistical Papers"

DOI: 10.1007/s00362-019-01142-7

Abstract: Many researchers have studied restricted estimation in the context of exact and stochastic restrictions in linear regression. Some ideas in linear regression, where the ridge and restricted estimations are the well known, were carried to… read more here.

Keywords: regression; stochastic restrictions; estimator; generalized linear ... See more keywords

A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter

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0 Published in 2018 at "TEST"

DOI: 10.1007/s11749-018-0624-0

Abstract: Highly robust and efficient estimators for generalized linear models with a dispersion parameter are proposed. The estimators are based on three steps. In the first step, the maximum rank correlation estimator is used to consistently… read more here.

Keywords: generalized linear; estimator; dispersion parameter; maximum likelihood ... See more keywords

Advantages of combining generalized linear models and occupancy models to find indicators of habitat selection: Small mammals in agroecosystems as a case study

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0 Published in 2018 at "Ecological Indicators"

DOI: 10.1016/j.ecolind.2017.10.003

Abstract: Abstract Models of habitat variables can be used to find indicators for a quantitative prediction of the likeliness of species occurrence or abundance. Methodological bias due to variable detectability can be critical to properly determine… read more here.

Keywords: combining generalized; habitat selection; generalized linear; selection ... See more keywords

Survival analysis of fatigue data: Application of generalized linear models and hierarchical Bayesian model

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0 Published in 2018 at "International Journal of Fatigue"

DOI: 10.1016/j.ijfatigue.2018.07.027

Abstract: Abstract The survival analysis is introduced to describe the fatigue failure process in this paper for obtaining a set of flexible and accurate probabilistic stress-life (P-S-N) curves in fatigue reliability analysis. The generalized linear models… read more here.

Keywords: bayesian model; analysis; generalized linear; hierarchical bayesian ... See more keywords

Privacy preserving collaborative learning of generalized linear mixed model

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1 Published in 2022 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2022.104008

Abstract: Generalized Linear Mixed Model is one of the most pervasive class of statistical models. It is widely used in the medical domain. Training such models in a collaborative setting often entails privacy risks. Standard privacy… read more here.

Keywords: generalized linear; mixed model; privacy; model ... See more keywords

Investigating dependence between frequency and severity via simple generalized linear models

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0 Published in 2019 at "Journal of the Korean Statistical Society"

DOI: 10.1016/j.jkss.2018.07.003

Abstract: Abstract Recently, a body of literature proposed new models relaxing a widely-used but controversial assumption of independence between claim frequency and severity in non-life insurance rate making. This paper critically reviews a generalized linear model… read more here.

Keywords: frequency; generalized linear; dependence; model ... See more keywords