Missing Data in Longitudinal Studies Missing Data in Longitudinal Studies
Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Missing Data in Longitudinal Studies

Strategies for Bayesian Modeling and Sensitivity Analysis

Michael J Daniels & Joseph W. Hogan
    • $109.99
    • $109.99

Publisher Description

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the authors employ

GENRE
Science & Nature
RELEASED
2008
March 11
LANGUAGE
EN
English
LENGTH
328
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
5.1
MB

More Books by Michael J Daniels & Joseph W. Hogan

Bayesian Nonparametrics for Causal Inference and Missing Data Bayesian Nonparametrics for Causal Inference and Missing Data
Bayesian Nonparametrics for Causal Inference and Missing Data
2023

Other Books in This Series

Introduction to Time Series Modeling with Applications in R Introduction to Time Series Modeling with Applications in R
Introduction to Time Series Modeling with Applications in R
2020
Markov Models & Optimization Markov Models & Optimization
Markov Models & Optimization
2018
Statistical Evidence Statistical Evidence
Statistical Evidence
2017
Statistical Inference Statistical Inference
Statistical Inference
2017
Hierarchical Modeling and Analysis for Spatial Data Hierarchical Modeling and Analysis for Spatial Data
Hierarchical Modeling and Analysis for Spatial Data
2025
Robust Small Area Estimation Robust Small Area Estimation
Robust Small Area Estimation
2025