Nonresponse bias analysis in longitudinal studies: a comparative review with an application to the early childhood longitudinal study
From MaRDI portal
Publication:6663976
DOI10.1111/insr.12566MaRDI QIDQ6663976
Yajuan Si, Roderick J. A. Little, Nell Sedransk, Ya Mo
Publication date: 15 January 2025
Published in: International Statistical Review (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Handling attrition in longitudinal studies: the case for refreshment samples
- Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples
- Missing data methods in longitudinal studies: a review
- Multiple imputation for multilevel data with continuous and binary variables
- Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records
- An efficient method of estimation for longitudinal surveys with monotone missing data
- On the Variances of Asymptotically Normal Estimators from Complex Surveys
- Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
- Missing Data in Longitudinal Studies
- Multiple Imputation for Longitudinal Data Under a Bayesian Multilevel Model
- Inference and missing data
- Weighting for Unequal Selection Probabilities in Multilevel Models
- A class of pattern-mixture models for normal incomplete data
- Pattern-Mixture Models for Multivariate Incomplete Data with Covariates
- Pattern-mixture models with proper time dependence
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Dissecting multiple imputation from a multi-phase inference perspective: what happens when God’s, imputer’s and analyst’s models are uncongenial?
- Practical Tools for Designing and Weighting Survey Samples
- Statistical Analysis with Missing Data, Third Edition
- Pattern-Mixture Models for Multivariate Incomplete Data
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Missing-Data Methods for Generalized Linear Models
- Longitudinal Data Analysis
- Is there a 'safe area' where the nonresponse rate has only a modest effect on bias despite non‐ignorable nonresponse?
- Substantive model compatible multilevel multiple imputation: a joint modeling approach
- Review and evaluation of imputation methods for multivariate longitudinal data with mixed-type incomplete variables
This page was built for publication: Nonresponse bias analysis in longitudinal studies: a comparative review with an application to the early childhood longitudinal study