Results 181 to 190 of about 658,808 (305)

Hierarchical Generalized Linear Models: The R Package HGLMMM

The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Marek Molas, Emmanuel Lesaffre
core  

Non-Linear Mixed Models for the Characterization of Growth Trajectory Measured by Ultrasound of 'San Pedreño' Creole Pig Breed From Colombia. [PDF]

Vet Med Sci
Salamanca-Carreño A, Parés-Casanova PM, Rangel-Pachón DE, Valverde A, Toalombo-Vargas PA, Vélez-Terranova M.   +5 more
europepmc   +1 more source

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models. [PDF]

Int J Epidemiol
Ryan Baumann M, Taljaard M, Heagerty PJ, Harhay MO, Tong G, Wang R, Li F.   +6 more
europepmc   +1 more source

Sparse nested Markov models with log-linear parameters

, 2013
Hidden variables are ubiquitous in practical data analysis, and therefore modeling marginal densities and doing inference with the resulting models is an important problem in statistics, machine learning, and causal inference.
Robins, James, Shpitser, I, Richardson, TS, Robins, JM, Evans, Robin, Richardson, Thomas, Evans, RJ, Shpitser, Ilya   +7 more
core  

When the outcome is compositional: A method for conducting compositional response linear mixed models for physical activity, sedentary behaviour and sleep research. [PDF]

PLoS One
Miatke A, Stanford T, Olds T, Fraysse F, Maher C, Martin-Fernandez JA, Dumuid D.   +6 more
europepmc   +1 more source

Smoothing with Mixed Model Software

Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing.
Matthew P. Wand, Long Ngo
core  

plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure. [PDF]

Brief Bioinform
Peter TK, Reisetter AC, Lu Y, Rysavy OA, Breheny PJ.   +4 more
europepmc   +1 more source

Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints. [PDF]

Front Psychol
Dalla Bona S, Spoto A, Caserotti M, Lotto L, Sarlo M, Cellini N, Cutini S, Bruno G.   +7 more
europepmc   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington, Divya L. Dayanidhi, Mohammad Zokaasadi, John B. Mantyh, Pelumi D. Olawuni, Gabrielle Rupprecht, Jeremy M. Force, Shannon McCall, Ashwani K. Bahl, David S. Hsu, Jason A. Somarelli   +10 more
wiley   +1 more source

Normative Data for Learning and Memory Test (TAMV-I) in Latin American and Spanish Children: An item response theory and linear mixed models approach. [PDF]

PLoS One
Fuentes Mendoza EM, Olabarrieta-Landa L, Rodríguez-Lorenzana A, Mascialino G, Vergara-Moragues E, de Los Reyes-Aragón CJ, Albaladejo-Blázquez N, Cadavid-Ruiz N, Irias Escher MJ, Arango-Lasprilla JC, Orozco-Acosta E, Rivera D.   +11 more
europepmc   +1 more source