Document Detail


Parametric and semiparametric model-based estimates of the finite population mean for two-stage cluster samples with item nonresponse.
MedLine Citation:
PMID:  17489967     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This article concerns item nonresponse adjustment for two-stage cluster samples. Specifically, we focus on two types of nonignorable nonresponse: nonresponse depending on covariates and underlying cluster characteristics, and depending on covariates and the missing outcome. In these circumstances, standard weighting and imputation adjustments are liable to be biased. To obtain consistent estimates, we extend the standard random-effects model by modeling these two types of missing data mechanism. We also propose semiparametric approaches based on fitting a spline on the propensity score, to weaken assumptions about the relationship between the outcome and covariates. These new methods are compared with existing approaches by simulation. The National Health and Nutrition Examination Survey data are used to illustrate these approaches.
Authors:
Ying Yuan; Roderick J A Little
Related Documents :
16621127 - Gaussian estimation and joint modeling of dispersions and correlations in longitudinal ...
18163157 - Spatial modelling using a new class of nonstationary covariance functions.
12466027 - Choosing marginal or random-effects models for longitudinal binary responses: applicati...
18991107 - Application of semiparametric mixed models and simultaneous confidence bands in a cardi...
12662897 - Contemporary issues in toxicology the role of metabonomics in toxicology and its evalua...
15203347 - Models relating traffic safety with road environment and traffic flows on arterial road...
Publication Detail:
Type:  Journal Article     Date:  2007-05-08
Journal Detail:
Title:  Biometrics     Volume:  63     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-12-14     Completed Date:  2008-01-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1172-80     Citation Subset:  IM    
Affiliation:
Department of Biostatistics and Applied Mathematics, M.D. Anderson Cancer Center, Houston, Texas 77030, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Cluster Analysis*
Computer Simulation
Data Collection
Data Interpretation, Statistical*
Demography*
Models, Biological*
Models, Statistical*
Reproducibility of Results
Sample Size
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Oxidative stress and metabolism in animal model of colitis induced by dextran sulfate sodium.
Next Document:  Evaluating the predictiveness of a continuous marker.