4 papers
Semi-partitioned Generalized Method of Moments for Longitudinal Data with Lagged and Feedback Covariates
Niloofar Ramezani, Jeffrey R. Wilson
We propose a semi-partitioned Generalized Method of Moments (GMM) framework for analyzing longitudinal data with time-dependent covariates, within a marginal modeling paradigm. Thi…
Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
Niloofar Ramezani, Pascal Nitiema, Jeffrey R. Wilson
Time-varying covariates in longitudinal studies frequently evolve through reciprocal feedback, undergo role reversal, and reflect unobserved individual heterogeneity. Standard stat…
Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
Niloofar Ramezani, Lori P. Selby, Pascal Nitiema +1
Recurrent binary outcomes within individuals, such as hospital readmissions, often reflect latent risk processes that evolve over time. Conventional methods like generalized linear…
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
Niloofar Ramezani, Martin Slawski
Beta regression is commonly employed when the outcome variable is a proportion. Since its conception, the approach has been widely used in applications spanning various scientific…