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Mixed Model Discrete Regression

Biometrical Journal, 1992
AbstractModels and estimention procedures are given for linear regression models in discrete distributions when the regression contains both fixed and random effects. The methods are developed for discrete variables with typically a small number of possible outcomes such as occurs in ordinal regression. The method is applied to a problem arising in the
J. Zhaorong   +2 more
openaire   +1 more source

Linear Mixed Effects Models

2007
Statistical models provide a framework in which to describe the biological process giving rise to the data of interest. The construction of this model requires balancing adequate representation of the process with simplicity. Experiments involving multiple (correlated) observations per subject do not satisfy the assumption of independence required for ...
Ann L, Oberg, Douglas W, Mahoney
openaire   +2 more sources

Linear Mixed Models II

2001
Observations often fall into groups or clusters. For example, longitudinal data consist of repeated observations on the same subjects. Hierarchical data sets typically consist of subjects nested in higher level units, such as families or GP practices.
Brian Everitt, Sophia Rabe-Hesketh
openaire   +1 more source

Organic mixed conductors for bioinspired electronics

Nature Reviews Materials, 2023
Paschalis Gkoupidenis   +2 more
exaly  

Mixed Models

2011
Matthew J. Gurka, Lloyd J. Edwards
openaire   +2 more sources

Nonlinear Mixed Models

2014
Antonio, K., Zhang, Y.
openaire   +2 more sources

Mixed Ionic and Electronic Conduction in Small-Molecule Semiconductors

Chemical Reviews, 2022
Christina J Kousseff   +2 more
exaly  

Ligand-engineered bandgap stability in mixed-halide perovskite LEDs

Nature, 2021
Yasser Hassan   +2 more
exaly  

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