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While somewhat arbitrary, changes in parameter estimates of >10% may indicate that these estimates were biased due to missing surveys.
It is important to note that in this paper, we are focused on missing surveys rather than incomplete surveys (i.e. missing data elements within a survey).
Then, a series of regression models were developed, including 1) initial PCS and MCS models which did not account for potential bias due to missing surveys, 2) Heckman selection models (modeling response to the SF-36), and finally 3) final PCS and MCS models (accounting for potential bias due to missing surveys).
Researchers may compare clinical characteristics of respondents with and without missing surveys, but rarely attempt to assess the impact of these differences on the regression model parameter estimates and ultimately on the results of the study.
The number of missing surveys did not vary by condition, and participants missing postsurvey data were no different from those with postsurvey data on any variable, except (not surprisingly) for absences or lateness.
The second step of the Heckman method is the insertion of the IMR variable into the initial regression models (e.g. those not accounting for potential bias due to missing surveys) from a given study in order to assess for, and attempt to control for, selection bias.
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The potential impact of missing survey responses is often ignored in health-related quality of life (HRQL) studies [ 1, 2].
Of these, 74 survey locations were excluded from analysis because they were polygons (n = 30); were not positioned (n = 41); or were missing survey month (n = 3).
There were no differences reported in the frequency of the other types of non-adherent behaviour or the proportion of missing survey items between the groups.
Further, the electronic symptom surveillance using PRO-CTCAE has the potential to have alerts be developed, such as for severe symptoms, missed surveys, missed review by clinicians.
Participants were compensated for missed surveys associated with connectivity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com