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Toward New Directions in Human Biology: A Roadmap for Anthropological Causal Inference With Observational Data.

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This study introduces a causal inference framework for human biology, integrating cultural, environmental, and biological factors. It enhances understanding of human variation by applying structured methods for observational data analysis.

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causal inferenceconfoundingdirected acyclic graphsobservational data analysisstatistical analysis

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Area of Science:

  • Human Biology
  • Anthropology
  • Causal Inference

Background:

  • Human biologists study variation shaped by cultural, environmental, and biological forces.
  • Current observational causal inference methods are underutilized in human biology.
  • Biocultural synthesis emphasizes integrating diverse factors influencing human variation.

Purpose of the Study:

  • To outline a structured roadmap for causal inference in human biology.
  • To integrate contemporary causal inference approaches into the field.
  • To enhance the understanding of human variation through biocultural synthesis.

Main Methods:

  • Theory development and definition of causal questions and estimands.
  • Utilizing directed acyclic graphs (DAGs) to clarify assumptions.
  • Evaluating identification criteria before statistical analysis.

Main Results:

  • A flexible framework for causal inference in human biology is proposed.
  • The framework spans interventionist and realized causal inference traditions.
  • It promotes transparency, coherence, and integration of biocultural principles.

Conclusions:

  • The proposed framework offers a structured yet flexible approach to causal inference in human biology.
  • It encourages the integration of diverse forces shaping human variation.
  • This work advances anthropological causal inference by emphasizing epistemological commitments.