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Joint Model with Missing at Random The time effects have been considered as random.
Because this was a cross-sectional survey, it is more likely that these data were missing at random and not due to any effect of outcome, treatment, or follow-up.
In the worst case scenario, nonresponse may be associated with the missing values, which is known variously as missing not at random (MNAR) (Schafer & Graham, 2002), not missing at random (NMAR) (von Hippel, 2004) or nonignorable (Allison, 2002).