SMS scnews item created by John Ormerod at Fri 4 Nov 2016 1641
Type: Seminar
Distribution: World
Expiry: 11 Nov 2016
Calendar1: 11 Nov 2016 1400-1500
CalLoc1: Carslaw 173
CalTitle1: Non-ignorable missingness in logistic regression: an application to the 45 and Up Study
Auth: jormerod@pjormerod5.pc (assumed)

# Statistics Seminar: Joanna Wang (UTS) -- Non-ignorable missingness in logistic regression: an application to the 45 and Up Study

Abstract:

Non-responses and missing data are common in observational studies. Ignoring or
incorrect standard errors and as a consequence, incorrect statistical inference
and conclusions. We present a strategy for modelling non-ignorable missing where
the probability of nonresponse depends on the outcome. Using a simple case of
logistic regression, we quantity the bias in regression estimates and show the
observed likelihood is non-identifiable under non-ignorable missing data mechanism.

We then adopt a selection model factorisation of the joint distribution as the
basis for a sensitivity analysis to study changes in estimated parameters and the
robustness of study conclusions against different assumptions.

Using simulated data, we explore the performance of the Bayesian selection model
in correcting for bias in a logistic regression. We then implement our strategy
using survey data from the 45 and Up Study to investigate factors associated with
dwelling type change from baseline to follow-up survey. Our findings have practical
implications for the use of the 45 and Up Study data to answer important health
and quality-of-life questions.


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