Results 131 to 140 of about 125,543 (299)

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  

Biases of the restricted maximum likelihood estimators for ARMA processes with polynomial time trend

, 2017
In order to estimate autoregressive moving average models with a general polynomial time trend, the restricted or residual likelihood is considered. The autoregressive moving average parameter estimator maximizing the restricted likelihood has shown to ...
신동완
core   +1 more source

Properties and inference of the Pareto Lomax distribution with applications to real data

Scientific Reports
This paper introduces a new four-parameter lifetime model, the odd Pareto–Lomax (OPLx) distribution. By extending the Lomax model, the OPLx distribution provides enhanced flexibility for modeling real-world data across various fields.
Ahmed Z. Afify, Hisham A. Mahran, Mohammed Alqawba, Hassan M. Aljohani, Ashraf D. Abdellatif   +4 more
doaj   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Penggunaan Metode Maximum Likelihood dalam Estimasi Parameter Model ARCH(r)-Mean [PDF]

, 2016
ABSTRAK ARCH (Autoregresisive Conditional Heteroscedastic) pertama kali diperkenalkan oleh Engle pada tahun 1982 yang digunakan untuk memodelkan varians residual yang tidak konstan dari model ARMA terbaik.
Rahmat, Muhammad Fathur
core  

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Maximum Likelihood Robust Regression with Known and Unknown Residual Models

, 2008
The first part of this paper is mathematical. We will prove formally that by considering independent residual models for “good ” residuals and outliers and minimizing the sum of squared observed residuals weighted by the estimated posterior probabilities
Sami Brandt
core  

Maximum Likelihood Estimation of Parameters of Autoregressive Processes with Moving Average Residuals and Other Covariance Matrices with Linear Structure

The Annals of Statistics, 1975
The autoregressive process with moving average residuals is a stationary process $\{y_t\}$ satisfying $\sum^p_{s = 0} \beta_sy_{t - s} = \sum^q_{j = 0} \alpha_j\nu_{t - j}$, where the sequence $\{\nu_t\}$ consists of independently identically distributed (unobservable) random variables.
openaire   +3 more sources

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source