Inferences on the Outfluence – How do Missing Values Impact Your Analysis?

DOI10.1080/03610920902947212zbMath1175.62001OpenAlexW2018997699MaRDI QIDQ3645014

Jeffrey Stratton, Ofer Harel

Publication date: 16 November 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920902947212

zbMATH Keywords

influencemissing datamultiple imputationobesityfood insecurityrates of missing informationoutfluence

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Asymptotic distribution theory in statistics (62E20)

Related Items (3)

Impact of the non-distinctness and non-ignorability on the inference by multiple imputation in multivariate multilevel data: a simulation assessment ⋮ Addressing missing data mechanism uncertainty using multiple-model multiple imputation: application to a longitudinal clinical trial ⋮ Latent class regression: Inference and estimation with two-stage multiple imputation

Uses Software

• SAS
• Unnamed Item

Cites Work

• Longitudinal data analysis using generalized linear models
• Inferences on missing information under multiple imputation and two-stage multiple imputation
• Accounting for Nonignorable Verification Bias in Assessment of Diagnostic Tests
• Partial and latent ignorability in missing-data problems
• Diagnostics for Multivariate Imputations
• Inference and missing data
• A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Inferences on the Outfluence – How do Missing Values Impact Your Analysis?