Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files.

Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files. Research Abstract Details 

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Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files. Abstract Text:

Jennifer D Parker,Nathaniel Schenker,

Multiple imputation (MI) is a technique that can be used for handling missing data in a public-use dataset. With MI, two or more completed versions of the dataset are created, containing possibly different but reasonable replacements for the missing data. Users analyse the completed datasets separately with standard techniques and then combine the results using simple formulae in a way that allows the extra uncertainty due to missing data to be assessed. An advantage of this approach is that the resulting public-use data can be analysed by a variety of users for a variety of purposes, without each user needing to devise a method to deal with the missing data. A recent example for a large public-use dataset is the MI of the family income and personal earnings variables in the National Health Interview Survey. We propose an approach to utilise MI to handle the problems of missing gestational ages and implausible birthweight-gestational age combinations in national vital statistics datasets. This paper describes MI and gives examples of MI for public-use datasets, summarises methods that have been used for identifying implausible gestational age values on birth records, and combines these ideas by setting forth scenarios for identifying and then imputing missing and implausible gestational age values multiple times. Because missing and implausible gestational age values are not missing completely at random, using multiple imputations and, thus, incorporating both the existing relationships among the variables and the uncertainty added from the imputation, may lead to more valid inferences in some analytical studies than simply excluding birth records with inadequate data.

Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files. Publishing Authors By Initials

JD Parker,N Schenker,

For similar geographic locations: americas: north america: united states research abstracts see: geographic locations: americas: north america: united states research

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Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Paediatric and perinatal epidemiology

VOLUME: 21 Suppl 2

Page Numbers: 97-105

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ISSN: 0269-5022

DAY: 19

MONTH: Sep

YEAR: 2007

Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files. Information

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LANGUAGE: eng

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Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files. Keywords Mesh Terms:

KEYWORDS: United States

MESH TERMS: epidemiology

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Grant and Affiliation Information for Multiple imputation for national public-use datasets and its possible application for gestational age in United States Natality files.

AFFILIATION: National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD 20782, USA. jdparker@cdc.gov

Country: England

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MEDLINETA: Paediatr Perinat Epidemiol

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