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June 1, 20260 citationsOpen Access

New general location models for mixed responses

ESEhsan Bahrami Samani

Key Points

  • This research aims to introduce new models for analyzing mixed responses that include correlated nominal, ordinal, and continuous outcomes.
  • Introduced a new general location model using a latent variable approach.
  • Discussed regression methods for joint analysis of various response types.
  • Applied the model to data sets including BMI, Steatosis, and Osteoporosis.
  • Demonstrated improved maximum likelihood estimations compared to previous models.
  • Validated the new models with relevant data sets, showing effectiveness in handling mixed outcomes.

Abstract

In this paper, we introduce new general location model for mixed responses including correlated nominal, ordinal and continuous outcomes by using latent variable approach. We discuss regression methods for jointly analysis of continuous and categorical (nominal and ordinal) responses. After presenting the Leon and Carrière general location model 7, new general location model is introduced. A full likelihood-based approach is used to obtain maximum likelihood estimations of the models parameters. The proposed model is applied to BMI, Steatosis and Osteoporosis data.

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Cite This Study

Ehsan Bahrami Samani (2026) studied this question.

synapsesocial.com/papers/6a1d224302fbce9130637fa2https://doi.org/10.22060/ajmc.2025.23674.1284
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Also Consider

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  4. 4A latent class location-scale regression model with an application to calorie intake data2026 · 1 citations
  5. 5Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape2024 · 1 citations