Results 81 to 90 of about 1,882,582 (293)
DISCRETE MULTIVARIATE ANALYSIS USING LOG - LINEAR MODELS
a procedure is definid for obtaining maximun likelihood estimates for the parameters of a family of log - linear models which includes the general log - linear model, logit models, multinominal logit models, and association models as well as models for ...
Robert J. Flowers
doaj +1 more source
Regional Factors and Innovativeness - An Empirical Analysis of Four German Industries [PDF]
A growing body of work emphasizes the importance of regional factors for regional innovativeness. In this paper, about seventy variables approximating the social-economic characteristics of regions are aggregated to twelve regional factors.
Thomas Brenner, Tom Broekel
core
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
We propose a robust linear regression model assuming a log-skew-t distribution for the response variable, with the aim of exploring the association between the covariates and the quantiles of a continuous and positive response variable under skewness and
Raúl Alejandro Morán-Vásquez +2 more
doaj +1 more source
Multilevel log linear model to estimate the risk factors associated with infant mortality in Ethiopia: further analysis of 2016 EDHS. [PDF]
Mulugeta SS +6 more
europepmc +1 more source
INDETERMINACY IN A LOG-LINEARIZED NEOCLASSICAL ROWTH MODEL WITH QUASI-GEOMETRIC DISCOUNTING [PDF]
This paper studies the properties of solutions to a log-linearized version of the neoclassical growth model with quasi-geometric discounting. We show that after the log-linearization, the model has indeterminacy and multiplicity of equilibria even though
Lilia Maliar, Serguei Maliar
core
Mean-parametrized Conway-Maxwell-Poisson regression models for dispersed counts
Conway-Maxwell-Poisson (CMP) distributions are flexible generalizations of the Poisson distribution for modelling overdispersed or underdispersed counts.
Huang, Alan
core +1 more source
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
Log-Linear Model Analysis of Aftershock Sequences: A Review on the 6 February Earthquakes in Turkey
Researchers have conducted numerous studies on earthquakes and aftershocks, some of which have utilized statistical analysis methods. However, there is no direct research examining the interaction between variables thought to influence aftershocks ...
Gokcen Altun
doaj +1 more source
Inferring and Modeling Migration Flows Using Mobile Phone Network Data
Estimating migration flows and forecasting future trends is important, both to understand the causes and effects of migration and to implement policies directed at supplying particular services.
Soranan Hankaew +5 more
doaj +1 more source

