Missing data

  1. Review highlights key biases in observational studies
    A critical examination of validity threats in observational studies, including confounding, selection bias, time-varying confounding, measurement error, and missing data handling strategies.
  2. Framework standardizes NHIS population surveillance analysis
    Standardized statistical framework for National Health Interview Survey analyses to improve methodological consistency, enable cross-study comparisons, and strengthen population health.