Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies
From MaRDI portal
Publication:6047800
DOI10.1111/BIOM.13285zbMath1520.62172OpenAlexW3018281085WikidataQ93218955 ScholiaQ93218955MaRDI QIDQ6047800
Janie Coulombe, Robert W. Platt, Erica E. M. Moodie
Publication date: 9 October 2023
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://escholarship.mcgill.ca/concern/articles/jw827h56m
Related Items (2)
Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times ⋮ Causal inference: Critical developments, past and future
Cites Work
- Unnamed Item
- Unnamed Item
- On last observation carried forward and asynchronous longitudinal regression analysis
- Parameter Estimation in Longitudinal Studies with Outcome-Dependent Follow-Up
- Longitudinal Studies With Outcome-Dependent Follow-up
- The central role of the propensity score in observational studies for causal effects
- Causal diagrams for empirical research
- Inference and missing data
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times
- Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event
This page was built for publication: Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies