Nonrespondent Subsample Multiple Imputation in Two-Phase Sampling for Nonresponse

Nonrespondent Subsample Multiple Imputation in Two-Phase Sampling for Nonresponse

Nonresponse is very common in epidemiologic surveys and clinical trials. Common methods for dealing with missing data (e.g., complete-case analysis, ignorable-likelihood methods, and nonignorable modeling methods) rely on untestable assumptions. Nonresponse two-phase sampling (NTS), which takes a ra...

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Bibliographic Details
Main Authors: Zhang Nanhua, Chen Henian, Elliott Michael R.
Format: Article
Language:English
Published: Sciendo 2016-09-01
Series:Journal of Official Statistics
Subjects:
double sampling
maximum likelihood
missing data
nonignorable missing-data mechanism
quality of life
weighting
Online Access:https://doi.org/10.1515/jos-2016-0039

Internet

https://doi.org/10.1515/jos-2016-0039

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