This differential completeness by time may have led to an underestimation of the cancer incidence in our cohort relative to that of the entire LC population, because cancer rates increase with age and because exposures may have been higher when Love Canal was open in the earlier years.
Although diabetes is known to be poorly recorded in hospital admission data for adults (Anwar et al, 2011), we think it highly unlikely that differential completeness of reporting between cohort members and the general population would have influenced our finding of higher ratios for hospitalisation with diabetes among cancer survivors than among the general population.
This implies that any bias due to differential general practitioner completeness of postcode information between urban and non-urban areas is likely to be minimal.
This theory has been intensively developed and studied with sufficient completeness both for the ordinary differential equations and the functional differential equations (see [2 28]).
In this paper, the vehicle voyage track is optimized to improve the completeness of measurement data and differential evolution (DE) algorithm is adopted to estimate model parameters of interferential magnetic field.
Sharp estimates for resolvent, discreetness of spectrum, and completeness of root elements of the corresponding differential operators are obtained.
For this reason, and for the sake of completeness, we list the recurrence relation, shift operators, differential equations for the two dimensional generalized Bernoulli polynomials in the case c = e, α = 1, j = 2 in the following corollary.
Thus, we cannot discount the idea that our results, particularly the Black-White differences in survival, may be affected by completeness in our treatment data, particularly if it is differential across racial/ethnic groups.
[ 15] Primary elements of quality assessment for trials included randomization sequence generation and allocation concealment, similarity of compared groups at baseline, blinding, completeness of outcome data and outcome reporting, and overall and differential loss to follow-up.
Our data are used to support revised gene models, to evaluate the completeness of the current genome assembly [ 7], and to quantify differential read counts between growth conditions.
Although these are too few to draw any reliable conclusions about differential expression of hundreds of miRNAs and mRNAs, we briefly present that analysis for completeness and as a resource for future meta-analyses.
