Shared random parameter models: a legacy of the biostatistics program at the National Heart, Lung, and Blood Institute
From MaRDI portal
Publication:6625653
DOI10.1002/sim.8011zbMath1545.62201MaRDI QIDQ6625653
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Random-Effects Models for Longitudinal Data
- Prediction-based classification for longitudinal biomarkers
- An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data
- A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trial
- A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
- A class of joint models for multivariate longitudinal measurements and a binary event
- On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure
- A Latent Autoregressive Model for Longitudinal Binary Data Subject to Informative Missingness
- A shared parameter model for the estimation of longitudinal concomitant intervention effects
- Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
- Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- A Random Effects Transition Model For Longitudinal Binary Data With Informative Missingness
- An approximate joint model for multiple paired longitudinal outcomes and time‐to‐event data
- Mixed Effects Logistic Regression Models for Longitudinal Binary Response Data with Informative Drop-Out
- Use of Summary Measures to Adjust for Informative Missingness in Repeated Measures Data with Random Effects
- Modeling Repeated Count Data Subject to Informative Dropout
- Pattern-Mixture Models for Multivariate Incomplete Data
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
- Slope Estimation in the Presence of Informative Right Censoring: Modeling the Number of Observations as a Geometric Random Variable
- Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time
- An Approximate Generalized Linear Model with Random Effects for Informative Missing Data
- Joint Modelling of Repeated Measurements and Time-to-Event Outcomes: Flexible Model Specification and Exact Likelihood Inference
- General growth mixture modeling for randomized preventive interventions
- Modelling Longitudinal Semicontinuous Emesis Volume Data with Serial Correlation in an Acupuncture Clinical Trial
- Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data
Related Items (2)
Joint modeling of multistate and nonparametric multivariate longitudinal data ⋮ Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression
This page was built for publication: Shared random parameter models: a legacy of the biostatistics program at the National Heart, Lung, and Blood Institute