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Showing 1 to 4 of 4 for “"Time-varying effect"”.

  1. Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models

    … statistical methodologies for estimating the effects of time-fixed and time-varying factors in recurrent events modeling context. The research is motivated by the traffic safety research question of evaluating the influence of crash on driving risk and driver behavior. The methodologies …

    vt Repository record for Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models (opens in a new tab)

  2. Next-Generation Mendelian Randomization: Advanced and Reliable Methods for Complex Causal Inference

    … as instrumental variables to study the causal effects of exposures on outcomes. Conventional MR is primarily implemented to test or estimate effects in relatively simple forms. However, to gain deeper insights into causal mechanisms, improve decision-making, and enhance the interpretation of …

    cambridge Repository record for Next-Generation Mendelian Randomization: Advanced and Reliable Methods for Complex Causal Inference (opens in a new tab)

  3. Age-Varying Associations Between Childhood Abuse and the Risk of Obesity Across Adulthood: Examining Data from the National Longitudinal Study of Adolescents to Adult Health

    … to Adult Health (Add Health). Utilizing Time-Varying Effect Modeling (TVEM), the study identifies specific developmental periods during which the relationship between childhood abuse and obesity risk is strongest and investigates the moderating role of gender. The study found that all …

    claremont Repository record for Age-Varying Associations Between Childhood Abuse and the Risk of Obesity Across Adulthood: Examining Data from the National Longitudinal Study of Adolescents to Adult Health (opens in a new tab)

  4. Empowering RCT with Multi-site Multi-source RWD: a Statistical Learning Perspective

    … of randomization. Integrating these data sources effectively can enhance both statistical efficiency and external validity, yet it requires overcoming issues such as heterogeneity across clinical sites, bias from unmeasured confounding, and model shifts between trial and real-world populations. …

    penn Repository record for Empowering RCT with Multi-site Multi-source RWD: a Statistical Learning Perspective (opens in a new tab)