International Conference on Applied Multilevel Modeling and Hierarchical Data Analysis ICAMMHDA

Call For Papers

The ICAMMHDA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics, Data Science , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Multilevel modeling in educational research

Hierarchical data analysis techniques

Bayesian multilevel models applications

Statistical methods for longitudinal data

Multilevel modeling of health outcomes

Cross-classified models in social sciences

Random effects models for clustered data

Statistical approaches to nested data structures

Applications of multilevel modeling in psychology

Multilevel modeling in environmental studies

Statistical software for hierarchical modeling

Challenges in multilevel data analysis

Modeling variance components in multilevel data

Multilevel modeling for policy evaluation

Statistical techniques for meta-analysis

Multilevel structural equation modeling

Applications in public health research

Statistical inference in multilevel frameworks

Comparative studies using multilevel methods

Future directions in hierarchical modeling

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event