Results 51 to 60 of about 287,933 (261)

A Graphical User Interface to Generalized Linear Models in MATLAB

Journal of Statistical Software, 1999
Generalized linear models unite a wide variety of statistical models in a common theoretical framework. This paper discusses GLMLAB-software that enables such models to be fitted in the popular mathematical package MATLAB.
Peter Dunn
doaj   +3 more sources

APLICACIÓN DE MODELOS LINEALES GENERALIZADOS AL ANÁLISIS DE DATOS EN EL TRATAMIENTO DE AGUA POTABLE APPLICATION OF GENERALIZED LINEAR MODELS TO DATA ANALYSIS IN DRINKING WATER TREATMENT

Revista Colombiana de Estadística, 2005
En el tratamiento para obtener agua potable encontramos modelos lineales para explicar dosis y concentración de sulfato, dosis de cal, probabilidades de aplicación de cal y de polímero, incluyendo como variables explicativas algunas propiedades físicas y
Cepeda Zulma, Cepeda C. Edilberto
doaj  

Why analyze germination experiments using Generalized Linear Models?

Journal of Seed Science
: We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for a normal distribution or to the number of ...
Fábio Janoni Carvalho, Denise Garcia de Santana, Lúcio Borges de Araújo   +2 more
doaj   +1 more source

Double-Janus linear sigma models and generalized reciprocity for Gauss sums

Journal of High Energy Physics, 2021
We study the supersymmetric partition function of a 2d linear σ-model whose target space is a torus with a complex structure that varies along one worldsheet direction and a Kähler modulus that varies along the other.
Ori J. Ganor, Hao-Yu Sun, Nesty R. Torres-Chicon   +2 more
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

Application of Generalized Linear Models to Data Analysis in Drinking Water Treatment

Revista Colombiana de Estadística, 2005
In drinking water treatment we found appropriate linear models to explain dose and concentration of sulphate, dose of lime, lime application probability and polymer application probability, including as explanatory variables some physical and chemical ...
ZULMA CEPEDA, EDILBERTO CEPEDA C
doaj  

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

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

Causal generalized linear models via Pearson risk invariance

Journal of Causal Inference
Prediction 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, Vinciotti Veronica, Wit Ernst C.   +2 more
doaj   +1 more source

Quantum Generalized Linear Models

CoRR, 2019
Generalized linear models (GLM) are link function based statistical models. Many supervised learning algorithms are extensions of GLMs and have link functions built into the algorithm to model different outcome distributions. There are two major drawbacks when using this approach in applications using real world datasets.
Colleen M. Farrelly, Srikanth Namuduri, Uchenna Chukwu   +2 more
openaire   +2 more sources