6 papers
Power Estimation for Longitudinal Studies with Time Dependent Covariates Using Generalized Method of Moments
Niloofar Ramezani, Oliver Hurst
Longitudinal studies frequently incorporate covariates that evolve over time, creating complex dependence structures between outcomes and predictors. When covariates are time depen…
Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
Mahmud Hasan, Mathias Nthiani Muia, Mous-Abou Hamadou +1
Model selection plays an important role in longitudinal data analysis, especially when models are estimated using the generalized method of moments (GMM) in the presence of time-de…
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…