Modeling Partly Conditional Means With Longitudinal Data

DOI10.2307/2965563zbMath1067.62582OpenAlexW4246209077MaRDI QIDQ4366191

Margaret Sullivan Pepe, David Couper

Publication date: 1997

Full work available at URL: https://doi.org/10.2307/2965563

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62P99)

Related Items (15)

Asymptotic results with estimating equations for time-evolving clustered data ⋮ Marginal Regression Model with Time-Varying Coefficients for Panel Data ⋮ Efficient semiparametric estimation via Cholesky decomposition for longitudinal data ⋮ Credit portfolios, credibility theory, and dynamic empirical Bayes ⋮ Partly Conditional Survival Models for Longitudinal Data ⋮ Two-stage efficient estimation of longitudinal nonparametric additive models ⋮ Uncovering Symptom Progression History from Disease Registry Data with Application to Young Cystic Fibrosis Patients ⋮ Evaluating epoetin dosing strategies using observational longitudinal data ⋮ Prediction Using Partly Conditional Time‐Varying Coefficients Regression Models ⋮ Prospective Accuracy for Longitudinal Markers ⋮ Time-dependent prognostic score matching for recurrent event analysis to evaluate a treatment assigned during follow-up ⋮ Marginal Mark Regression Analysis of Recurrent Marked Point Process Data ⋮ Partly Functional Temporal Process Regression with Semiparametric Profile Estimating Functions ⋮ Partly Conditional Estimation of the Effect of a Time‐Dependent Factor in the Presence of Dependent Censoring ⋮ A nonparametric dynamic additive regression model for longitudinal data.

This page was built for publication: Modeling Partly Conditional Means With Longitudinal Data