Results 61 to 70 of about 208,684 (178)
Journal of Mazandaran University of Medical Sciences, 2022 Background and purpose: Controlling the severity and death of the COVID-19 disease is still a major challenge. This research aimed at identifying the factors associated with mortality in hospitalized patients with COVID-19 applying generalized linear model.
Faezeh Sadat Movahedi +4 more
openaire +1 more source
Extended generalization of the Bernoulli equation [PDF]
Surveys in Mathematics and its ApplicationsThis short note introduce an analytic solution for a generalized Bernoulli non-linear first-order ordinary differential equation (ODE), extending the framework proposed by Azevedo and Valentino [Int J Math Educ Sci, 2016, 47(8), 1271--1276].
Alexandre M. Afonso
doaj
Group Lasso for generalized linear models in high dimension [PDF]
, 2013 Nowadays an increasing amount of data is available and we have to deal with models in high dimension (number of covariates much larger than the sample size).
Blazère, Mélanie +2 more
core +4 more sources
Bradley-Terry Models in R: The BradleyTerry2 Package
Journal of Statistical Software, 2012 This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification and fitting of Bradley-Terry logit, probit or cauchit models to pair-comparison data.
Heather Turner, David Firth
doaj
Causal generalized linear models via Pearson risk invariance
Journal of Causal InferencePrediction invariance of causal models under heterogeneous settings has been exploited by a number of recent methods for causal discovery, typically focussing on recovering the causal parents of a target variable of interest.
Polinelli Alice +2 more
doaj +1 more source
Insurance: an R-Program to Model Insurance Data [PDF]
Data sets from car insurance companies often have a high-dimensional complex dependency structure. The use of classical statistical methods such as generalized linear models or Tweedie?s compound Poisson model can yield problems in this case. Christmann (
Christmann, Andreas +1 more
core
Measurement Error in Lasso: Impact and Correction
, 2014 Regression with the lasso penalty is a popular tool for performing dimension reduction when the number of covariates is large. In many applications of the lasso, like in genomics, covariates are subject to measurement error.
Frigessi, Arnoldo +2 more
core +1 more source
A Statistical Analysis of the Lake Levels at Lake Neusiedl [PDF]
, 2008 A long record of daily data is used to study the lake levels of Lake Neusiedl, a large steppe lake at the eastern border of Austria. Daily lake level changes are modeled as functions of precipitation, temperature, and wind conditions.
Leodolter, Johannes
core
Non-linear association between serum levels of vitamins A and B12 and accelerated epigenetic aging
Frontiers in NutritionBackgroundSerum vitamins A and B12, as essential micronutrients, play pivotal roles in maintaining physiological homeostasis; however, the association between these vitamins and aging remains unclear.
Zhimin Ma +11 more
doaj +1 more source
A Logistic Regression Based Auto Insurance Rate-Making Model Designed for the Insurance Rate Reform
International Journal of Financial Studies, 2018 Using a generalized linear model to determine the claim frequency of auto insurance is a key ingredient in non-life insurance research. Among auto insurance rate-making models, there are very few considering auto types.
Zhengmin Duan +4 more
doaj +1 more source