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Joanna JJ Wang

University of Technology Sydney



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Mark Bartlett

The Sax Institute



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Louise Ryan

University of Technology



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688 – Personalized Intervention Based on Health Care Big Data Research

On the Impact of Informative Nonresponse in Logistic Regression

Sponsor: Health Policy Statistics Section
Keywords: 45 and Up Study, informative nonresponse, selection model, sensitivity analysis

Joanna JJ Wang

University of Technology Sydney

Mark Bartlett

The Sax Institute

Louise Ryan

University of Technology

In this paper, we are interested in nonignorable missing data mechanism where the probability of nonresponse depends on the outcome. We consider a selection model for nonignorable nonresponse in logistic regression. Expressions for the bias in parameter estimates are derived in a simple case. Further, we propose a sensitivity analysis to study changes in parameter estimates under different assumptions. We adopt a Bayesian framework as it offers a flexible approach for incorporatin different missing data mechanisms. Our modelling strategy is illustrated using survey data from the 45 and Up Study.

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