Results 131 to 140 of about 2,028,100 (318)
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Mixture of bivariate Poisson regression models with an application to insurance [PDF]
In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this
Lluís Bermúdez, Dimitris Karlis
core
Model selection in generalised structured additive regression models [PDF]
In recent years data sets have become increasingly more complex requiring more flexible instruments for their analysis. Such a flexible instrument is regression analysis based on a structured additive predictor which allows an appropriate modelling for ...
Belitz, Christiane
core
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 +12 more
wiley +1 more source
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
On Robustness of Resampling-Estimators for Linear Regression Models
The application of the resampling-approach to the linear regression model analysis is considered. The mean square estimators are known to be the best estimators in case of regression model without nuisance observations.
Fiošina, Jeļena, Andronovs, Aleksandrs
core +1 more source
Smooth Transition Regression Models in UK Stock Returns [PDF]
This paper models UK stock market returns in a smooth transition regression (STR) framework. A variety of financial and macroeconomic series are employed that are assumed to influence UK stock returns, namely GDP, interest rates, inflation, money supply ...
Nektarios Aslanidis
core
Semiparametric estimation of count regression models
This paper develops a semiparametric estimation approach for mixed count regression models based on series expansion for the unknown density of the unobserved heterogeneity. We use the generalized Laguerre series expansion around a gamma baseline density
Rilstone, P. +5 more
core +1 more source
Enzymes of the 2‐hydroxyacyl‐CoA lyase group catalyze the condensation of formyl‐CoA with aldehydes or ketones. Thus, by structural adaptation of active sites, practically any pharmaceutically and industrially important 2‐hydroxyacid could be biotechnologically synthesized. Combining crystal structure analysis, active site mutations and kinetic assays,
Michael Zahn +4 more
wiley +1 more source
Semiparametric Robust Estimation of Truncated and Censored Regression Models
Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically censored least squares (SCLS) are sensitive to outliers and data contamination as we document.
Cizek, P.
core

