Results 11 to 20 of about 208,247 (273)

Evaluating an Automated Number Series Item Generator Using Linear Logistic Test Models [PDF]

Journal of Intelligence, 2018
This study investigates the item properties of a newly developed Automatic Number Series Item Generator (ANSIG). The foundation of the ANSIG is based on five hypothesised cognitive operators. Thirteen item models were developed using the numGen R package and eleven were evaluated in this study.
Bao Loe, Luning Sun, Filip Simonfy, Philipp Doebler   +3 more
openaire   +5 more sources

The relative and interactive effects of urinary multiple metals exposure on hyperuricemia among urban elderly in China

Frontiers in Public Health, 2023
ObjectiveIndependent and interactive effects of multiple metals levels in urine on the risk of hyperuricemia (HUA) in the elderly were investigated.MethodsA total of 6,508 individuals from the baseline population of the Shenzhen aging-related disorder ...
Chao Huang, Erwei Gao, Feng Xiao, Qiongzhen Wu, Wei Liu, Yi Luo, Xiaohu Ren, Xiao Chen, Kaiwu He, Haiyan Huang, Qian Sun, Desheng Wu, Jianjun Liu   +12 more
doaj   +1 more source

Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models [PDF]

, 2020
Penalization of the likelihood by Jeffreys' invariant prior, or by a positive power thereof, is shown to produce finite-valued maximum penalized likelihood estimates in a broad class of binomial generalized linear models.
Firth, David, Kosmidis, Ioannis
core   +2 more sources

Forecasting Prorocentrum minimum blooms in the Chesapeake Bay using empirical habitat models

Frontiers in Marine Science, 2023
Aquaculturists, local beach managers, and other stakeholders require forecasts of harmful biotic events, so they can assess and respond to health threats when harmful algal blooms (HABs) are present.
Dante M. L. Horemans, Marjorie A. M. Friedrichs, Pierre St-Laurent, Raleigh R. Hood, Christopher W. Brown   +4 more
doaj   +1 more source

Normal-Power-Logistic Distribution: Properties and Application in Generalized Linear Model

Journal of the Indian Society for Probability and Statistics, 2022
The applications of Normal distribution in literature are verse, the new modified univariate normal power distribution is a new distribution which is adequate for modelling bimodal data. There are many data that would have been modelled by normal distribution, but because of their bimodality, they are not, since normal distribution is unimodal. In this
Matthew I. Ekum, Muminu O. Adamu, Eno E. E. Akarawak   +2 more
openaire   +1 more source

Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

BMC Medical Research Methodology, 2017
Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
doaj   +1 more source

Analysis of neonatal clinical trials with twin births

BMC Medical Research Methodology, 2009
Background In neonatal trials of pre-term or low-birth-weight infants, twins may represent 10–20% of the study sample. Mixed-effects models and generalized estimating equations are common approaches for handling correlated continuous or binary data ...
Shaffer Michele L, Kunselman Allen R, Watterberg Kristi L   +2 more
doaj   +1 more source

Chain graph models of multivariate regression type for categorical data [PDF]

, 2011
We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independencies of these models is shown to be Markov equivalent to those of a chain ...
Lupparelli, Monia, Marchetti, Giovanni M.   +1 more
core   +1 more source

A generalized Liu-type estimator for logistic partial linear regression model with multicollinearity

AIMS Mathematics, 2023
<abstract><p>This paper is concerned with proposing a generalized Liu-type estimator (GLTE) to address the multicollinearity problem of explanatory variable of the linear part in the logistic partially linear regression model. Using the profile likelihood method, we propose the GLTE as a general class of Liu-type estimator, which includes ...
Dayang Dai, Dabuxilatu Wang
openaire   +2 more sources

Approximate Bayesian Model Selection with the Deviance Statistic [PDF]

, 2015
Bayesian model selection poses two main challenges: the specification of parameter priors for all models, and the computation of the resulting Bayes factors between models.
Bové, Daniel Sabanés, Gravestock, Isaac, Held, Leonhard   +2 more
core   +1 more source