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Data analysis for behavioral medicine: an introduction to the special issue
Mauricio Garnier-Villarreal1, Alexander Schoemann2, Manshu Yang1,3,4
1Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Advancing behavioral medicine requires new quantitative methods to analyze complex data. This special issue presents eighteen papers on mixture modeling, longitudinal modeling, causal inference, Bayesian inference, and nonlinear relationships.
Area of Science:
- Behavioral Medicine
- Quantitative Psychology
- Biostatistics
Background:
- Methods and theory are interdependent in behavioral research.
- Advancing behavioral medicine necessitates the development and implementation of novel methodologies.
- Increasing data complexity in behavioral medicine demands rigorous yet accessible quantitative analysis approaches.
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