NOVEL METHODS AND DATA IN POPULATION AGING RESEARCH

Abstract

Causal inference in population health research on aging is critical for understanding determinants of healthy aging and informing potential avenues of intervention. Such research faces a number of methodological challenges including data availability, detection bias, selection bias, confounding, and reverse causation.