Marginal regression models for the analysis of positive association of ordinal response variables

By Roberto Colombi, Antonio Forcina. 2001

72 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/23b5c884055ac7e05723c65dee36a6d9e8b657d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Francesco Bartolucci
2. Alessio Farcomeni
3. Antonio Forcina
4. Roberto Colombi

In Statistics and Probability

1. Alessio Farcomeni
2. Francesco Bartolucci
3. Roberto Colombi
4. Antonio Forcina
5. Étienne Roquain
6. Tommaso Cai
7. Gilles Blanchard
8. Wenguang Sun

Citations in the corpus

• An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints (2007, methodology): “…parameterization introduced by Bergsma and Rudas (2002) to allow for logits (and higher order effects) of different types and extend the results of Colombi and Forcina (2001) for computing maximum likelihood estimates under linear equality and inequality constraints, and for constructing an…”
• A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure (2009, methodology): “This algorithm is slightly more complex than that for maximizing ~ ‘ 2ðf j ~ uÞ, because, at each step, it requires inversion of (3) for every i and t and the k possible values of ait; details on its implementation may be deduced from Colombi and Forcina (2001).”