Truncation is a well-known phenomenon that may be present in observational studies of time-to-event data. While many methods exist to adjust for either left or right truncation, there are very few ...

Let y = βT x + ∈ denote the intrinsic relation between the response y and a covariate vector x, where ∈ represents an unobservable random variable. A truncated regression model assumes the existence ...

Doubly truncated data arise when the variable of interest is observable only if it falls between pre‐specified lower and upper bounds. This phenomenon poses significant challenges to statistical ...

The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and ...

This dissertation is motivated by a pediatric mental health care (PMHC) program in which records of mental health-related emergency department (MHED) visits were extracted from population-based ...

Limitations of linear regression applied on ecological data -- Things are not always linear : additive modeling -- Dealing with heterogeneity -- Mixed effects modeling for nested data -- Violation of ...