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- Alan Agresti, Maria Kateri
- International Encyclopedia of Statistical Science
- 2011

This course introduces principles and analyses related to data with categorical outcomes. This course will consider topics such as probability distributions with categorical data, contingency table analysis, the generalized linear model, logit models and loglinear models. Students are expected to: a) learn to select methods appropriate for a question of… (More)

- Angeldeep W. Kaur, Tobias Ackels, +8 authors Lisa Stowers
- Cell
- 2014

During social interactions, an individual's behavior is largely governed by the subset of signals emitted by others. Discrimination of "self" from "other" regulates the territorial urine countermarking behavior of mice. To identify the cues for this social discrimination and understand how they are interpreted, we designed an olfactory-dependent… (More)

- Anestis Touloumis, Alan Agresti, Maria Kateri
- Biometrics
- 2013

In this article, we propose a generalized estimating equations (GEE) approach for correlated ordinal or nominal multinomial responses using a local odds ratios parameterization. Our motivation lies upon observing that: (i) modeling the dependence between correlated multinomial responses via the local odds ratios is meaningful both for ordinal and nominal… (More)

- Vasilis Danielides, Christina-Sophia Nousia, Aristides Bartzokas, Christos J Lolis, Maria Kateri, Antonios Skevas
- BMC Ear, Nose, and Throat Disorders
- 2002

Background: Climatic or meteorological condition changes have been implicated in the pathogenesis of Idiopathic Sudden Sensorineural Hearing Loss (ISSHL). We investigated the seasonal distribution of ISSHL and evaluated the influence of meteorological parameters (such as temperature, humidity, and atmospheric pressure), their variation and covariation on… (More)

- Maria Kateri, Narayanaswamy Balakrishnan
- IEEE Trans. Reliability
- 2008

- Narayanaswamy Balakrishnan, Eric Beutner, Maria Kateri
- IEEE Trans. Reliability
- 2009

- Maria Kateri, Alan Agresti
- 2006

Kateri and Papaioannou [1997. Asymmetry models for contingency tables. J. Amer. Statist. Assoc. 92, 1124–1131] proved that, under certain conditions, quasi-symmetry is the closest model to symmetry. A simpler ordinal quasi-symmetry model is the closest to symmetry, under a weaker condition of unequal marginal mean scores. It is a special case of a class of… (More)

- G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
- Computational Statistics & Data Analysis
- 2007

In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “association” models. Such models assign scores to the classification variables which can be either fixed and prespecified or unknown parameters to be estimated. Under the row–column (RC)… (More)

- Maria Kateri, Alan Agresti
- 2009

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t Logistic regression is the closest model, given its sufficient… (More)

- Anne Krampe, Maria Kateri, Sonja Kuhnt
- Statistics and Computing
- 2011