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A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia
Goldstein, Harvey Browne, William J. Charlton, Christopher
Goldstein, Harvey
Browne, William J.
Charlton, Christopher
Abstract
In this paper we consider the impact of both missing data and measurement errors on a longitudinal analysis of participation in higher education in Australia. We develop a general method for handling both discrete and continuous measurement errors that also allows for the incorporation of missing values and random effects in both binary and continuous response multilevel models. Measurement errors are allowed to be mutually dependent and their distribution may depend on further covariates. We show that our methodology works via two simple simulation studies. We then consider the impact of our measurement error assumptions on the analysis of the real data set.
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Date
2017
Type
Journal article
Journal
Journal of Applied Statistics
Book
Volume
45
Issue
5
Page Range
918-931
Article Number
ACU Department
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Open Access Status
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