Results 11 to 20 of about 595,073 (274)

Machine learning advances the integration of covariates in population pharmacokinetic models: Valproic acid as an example

open access: yesFrontiers in Pharmacology, 2022
Background and Aim: Many studies associated with the combination of machine learning (ML) and pharmacometrics have appeared in recent years. ML can be used as an initial step for fast screening of covariates in population pharmacokinetic (popPK) models ...
Xiuqing Zhu   +7 more
doaj   +1 more source

Incorporating Machine Learning Into Factor Mixture Modeling: Identification of Covariate Interactions to Explain Population Heterogeneity

open access: yesMethodology, 2023
Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
doaj   +1 more source

On Hilbert Covariants [PDF]

open access: yesCanadian Journal of Mathematics, 2014
AbstractLet F denote a binary form of order d over the complex numbers. If r is a divisor of d, then the Hilbert covariant Hr,d(F) vanishes exactly when F is the perfect power of an order r form. In geometric terms, the coefficients of H give defining equations for the image variety X of an embedding Pr ↪ Pd.
Abdesselam, Abdelmalek   +1 more
openaire   +2 more sources

Analysis of covariance

open access: yesPsychiatry and Behavioral Sciences, 2017
Analysis of Covariance (ANCOVA) is a statistical method which is an extension of ANOVA that provides a way of statistically controlling the linear effect of variables one does not want to examine in a study.
Selim Kılıc
doaj   +1 more source

Detection of suspicious interactions of spiking covariates in methylation data [PDF]

open access: yes, 2020
BACKGROUND: In methylation analyses like epigenome-wide association studies, a high amount of biomarkers is tested for an association between the measured continuous outcome and different covariates.
Kruppa, Jochen   +3 more
core   +1 more source

Control of spatial effects due to neighboring palms in coconut (Cocos nucifera) experiments

open access: yesCORD, 2007
The RCBD is the most robust design for field experimentations in coconut. In this study the effect of neighboring palms to control local variation in field experiments of coconut was evaluated using two long-term coconut trials.
T. S. G. Peiris
doaj   +1 more source

Covariate Order Tests for Covariate Effect [PDF]

open access: yesLifetime Data Analysis, 2002
A new approach for constructing tests for association between a random right censored life time variable and a covariate is proposed. The basic idea is to first arrange the observations in increasing order of the covariate and then base the test on a certain point process defined by the observation times.
openaire   +3 more sources

Evaluation of discrepancies in spatial distribution of rainfall erosivity in the Czech Republic caused by different approaches using GIS and geostatistical tools

open access: yesSoil and Water Research, 2017
The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low ...
Jiří BRYCHTA, Miloslav JANEČEK
doaj   +1 more source

Covariate-assisted spectral clustering [PDF]

open access: yes, 2016
Biological and social systems consist of myriad interacting units. The interactions can be represented in the form of a graph or network. Measurements of these graphs can reveal the underlying structure of these interactions, which provides insight into ...
Binkiewicz, Norbert   +2 more
core   +1 more source

The Modified Borel–Tanner (Mbt) Regression Model

open access: yesRevstat Statistical Journal, 2017
A new one-parameter family of discrete distributions is presented. It has some advantages against the Poisson distribution as a suitable model for modelling data with a high frequencies of zeros and showing over-dispersion (variance larger than the mean)
Emilio Gómez-Déniz   +2 more
doaj   +1 more source

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