Results 31 to 40 of about 1,574,453 (263)
Binary Models for Marginal Independence
Log-linear models are a classical tool for the analysis of contingency tables. In particular, the subclass of graphical log-linear models provides a general framework for modelling conditional independences.
Anderson T. W +34 more
core +2 more sources
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu +20 more
wiley +1 more source
MODEL LOG-LINIER G2 PADA OBSERVASI TRIVARIAT LENGKAP
The log-linear models are most used to catagorical data analysis. The catagorical scale is the function transformation value form forth scale measured of observation : nominal, ordinal, ratio and interval. For the data analysis to trivariates observation
I WAYAN SANTIYASA
doaj +1 more source
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
On the correspondence of deviances and maximum-likelihood and interval estimates from log-linear to logistic regression modelling [PDF]
Consider a set of categorical variables P where at least one, denoted by Y, is binary. The log-linear model that describes the contingency table counts implies a logistic regression model, with outcome Y.
W. Jing, M. Papathomas
doaj +1 more source
Estimation of the growth curve parameters in Macrobrachium rosenbergii [PDF]
Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of Macrobrachium rosenbergii ...
Gopal, Krishna +3 more
core
A conjugate prior for discrete hierarchical log-linear models
In Bayesian analysis of multi-way contingency tables, the selection of a prior distribution for either the log-linear parameters or the cell probabilities parameters is a major challenge. In this paper, we define a flexible family of conjugate priors for
Dobra, Adrian +2 more
core +4 more sources
Peptide‐based ligand antagonists block a Vibrio cholerae adhesin
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang +9 more
wiley +1 more source
THE EFFECT OF RETIREMENT ON PERCEIVED WELL-BEING IN HUNGARY
The effect of retirement on perceived well-being is examined by using three waves of the Hungarian GGS data. The marginal log-linear model, which is a useful, state-of-the art methodological tool for categorical multivariate analysis, is applied to the ...
Márta Radó
doaj +1 more source
Median Distance Model for Likert-Type Items in Contingency Table Analysis
Likert-type items (questions) are a widely used scale in questionnaire design. The “neutral” or “undecided” option may lead to misinterpretation and confusion about the results.
Serpil Aktas Altunay +1 more
doaj +1 more source

