Marginal Modeling for Exposure Data with Values Below the LOD
Fill-in or Substitution Methods
Function of a Generalized Estimating Equation (GEE) Model
Function of a Generalized Estimating Equation (GEE) Model
Function of a Generalized Method of Moments Model
Function of a Quadratic Inference Function (QIF) Model
Function of a Quadratic Inference Function (QIF) Model
Function of a Quantile Regression Model
Function to Select a Type of Time-Dependent Covaraite Through a Quanti...
Function to Select a Type of Time-Dependent Covaraite Through a Genera...
Function to Select a Type of Time-Dependent Covaraite Through a Quadra...
Simulated Dataset 15
Simulated Dataset 58
Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024) <doi:10.1093/annweh/wxae068>, and Chen IC (2025) <doi:10.1038/s41370-025-00752-8>.