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In this paper, we present a logistic regression model on randomized response data when the covariates on some subjects are missing at random.
If less than 15% of subjects are missing in each group, the upper bound factor is less than.18.
This approach is easy to implement and is particularly informative when less than 15% of subjects are missing in each arm.
No PM10 station was close enough to women residing within five miles of the Pico Rivera station, thus, these subjects are missing PM10 estimates.
Maximal oxygen uptake has been extensively investigated in children [ 4- 7] and adults [ 8], but clinical context sex comparisons in the adolescent age-group 13 to 19 years of age in trained subjects are missing.
As derived in the Appendix See additional file: 1, the maximum ε s, which we call the upper bound factor, is If only 15% of the subjects are missing in each arm ε(max ) s is less than.18.
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Most variables analyzed had little missing data (<4%), but 16.7% of subjects were missing data for either income, education, or both.
A number of subjects were missing serum samples at either BL or FU, which decreased our sample size.
Twenty-seven subjects were missing a PGA score (abtsracted from CARRA Registry) on the visit date; participants who were missing a PGA score did not differ from participants who had a PGA score on disease or treatment burden or by demographics with the exception of age (patients who had a PGA score were older on average than those missing a score).
The difference between our results and those typically reported for traumatic amputees might arise from the fact that all four subjects were missing their limb below the elbow.
This model used data from 516 unmatched PD patients and unrelated controls (20 subjects were missing data on one or more SNPs).
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Justyna Jupowicz-Kozak
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