Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials
From MaRDI portal
Publication:2800209
DOI10.1007/978-3-319-19518-6_21zbMath1338.92006OpenAlexW2461565319MaRDI QIDQ2800209
Antonio R. Linero, Michael J. Daniels
Publication date: 15 April 2016
Published in: Nonparametric Bayesian Inference in Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-19518-6_21
Nonparametric hypothesis testing (62G10) General biostatistics (92B15) Medical applications (general) (92C50)
Related Items (5)
Bayesian methods for dealing with missing data problems ⋮ Bayesian Nonparametric Models ⋮ Bayesian Nonparametric Biostatistics ⋮ Statistical modeling of longitudinal data with non-ignorable non-monotone missingness with semiparametric Bayesian and machine learning components ⋮ Bayesian approaches for missing not at random outcome data: the role of identifying restrictions
Cites Work
- Unnamed Item
- Unnamed Item
- \(\text{GR}=\text{SW}\): counting curves and connections.
- An application of gauge theory to four dimensional topology
- A Sensitivity Analysis for Shared-Parameter Models for Incomplete Longitudinal Outcomes
- A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis
- Factor Analytic Models of Clustered Multivariate Data with Informative Censoring
- Bayesian geostatistical modelling with informative sampling locations
- Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model
- Bayesian dynamic modeling of latent trait distributions
- Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse
- Partial and latent ignorability in missing-data problems
- A class of pattern-mixture models for normal incomplete data
- Semiparametric Bayesian Analysis of Survival Data
- Bayesian analysis of covariance matrices and dynamic models for longitudinal data
- Pattern-mixture models with proper time dependence
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- A Bayesian Semiparametric Accelerated Failure Time Model
- Reparameterizing the Pattern Mixture Model for Sensitivity Analyses Under Informative Dropout
- Pattern–Mixture and Selection Models for Analysing Longitudinal Data with Monotone Missing Patterns
- Pattern-Mixture Models for Multivariate Incomplete Data
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Bayesian Model Selection for Incomplete Data Using the Posterior Predictive Distribution
- A prior for the variance in hierarchical models
- Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates
- A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data With Application to the Breast Cancer Prevention Trial
- Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles
- Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes
This page was built for publication: Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials
