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Logistic modelling of longitudinal survey data with measurement error

Logistic modelling of longitudinal survey data with measurement error
Logistic modelling of longitudinal survey data with measurement error
A logistic model relating the rates of transition between two states to a vector of covariates is considered. Measurement error on the binary state variable can lead to severely biased parameter estimates. Estimation procedures which adjust for measurement error are proposed for different measurement models. Complex sampling designs are allowed for. The procedures are illustrated using data from the U.S. Panel Study of Income Dynamics, where the response is whether an individual is in a job with a union contract. It is found that adjusting for measurement error can be important.
1017-0405
1045-1058
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d
Skinner, C.J.
48081d82-c596-436e-8846-c9d0a1bf158d

Skinner, C.J. (1998) Logistic modelling of longitudinal survey data with measurement error. Statistica Sinica, 8, 1045-1058.

Record type: Article

Abstract

A logistic model relating the rates of transition between two states to a vector of covariates is considered. Measurement error on the binary state variable can lead to severely biased parameter estimates. Estimation procedures which adjust for measurement error are proposed for different measurement models. Complex sampling designs are allowed for. The procedures are illustrated using data from the U.S. Panel Study of Income Dynamics, where the response is whether an individual is in a job with a union contract. It is found that adjusting for measurement error can be important.

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Published date: 1998
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Identifiers

Local EPrints ID: 34677
URI: http://eprints.soton.ac.uk/id/eprint/34677
ISSN: 1017-0405
PURE UUID: 1d694cc7-cbea-4dc3-83d5-ae441e1cdb3f

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Date deposited: 25 Jan 2008
Last modified: 08 Jan 2022 06:55

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Contributors

Author: C.J. Skinner

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