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Exact(7)
Subjects with missing data who could not be classified with regard to early disease definitions were excluded from the analyses reported below.
We excluded subjects with missing data, who were not working or were below 18 or older than 62 years and we analysed data for the remaining 228 respondents.
This is also the conclusion of Chen et al. (2012), whose method is equivalent to ours when there are no covariates and no missing data, who consider alternative parameter values in their simulation study.
Bias could also have been introduced by the exclusion of participants with missing data who had poorer cognitive status at baseline, thus reducing the overall power of the study.
The handling of missing data is questionable in that patients with missing data who appear to have been omitted, thereby suggesting a complete-case analysis that has been shown to be a methodologically flawed and biased in the development of prediction models (Clark and Altman, 2003; Burton and Altman, 2004; Moons et al, 2006).
Table 1 shows the baseline (1988 1994) distribution of the full sample as compared to our restricted analytic sample of NHANES III participants without missing data who did not retire early or change jobs or go to part time work because of health related reasons.
Similar(53)
After excluding those with missing data or who had no follow-up, 956 participants were included.
dAdults missing data on WHO stage at ART initiation [n = 35, 2.1%].
+Excludes 1599 individuals with missing data or who were born prior to 1980 (the earliest year gestational age was recorded in birth records).
Patients with missing data or who were treated with a combination of the ORCs and OAHs during the same procedure were excluded.
Patients with missing data and/or who moved away to another LHU during that interval were excluded.
Related(19)
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