"We consider data a liability.
We deliberately restricted analysis to these 38 practices because we considered that high-quality data recording was required for an analysis at GP level, and all these practices contributed to an NHS Scotland national morbidity recording data set and had therefore received training in, and financial support for, high-quality data recording.
We used Cox proportional hazards regression to compute mortality rate ratios (MRRs) for statin users compared with non-users, controlling for all covariates in Tables 1 and 2, except mechanical ventilation, dialysis, and laboratory data because we considered these potential effects of the intervention [ 40].
However, individual taste threshold values that were higher than the 300 mM NaCl were excluded from data analyses because we considered these values not reliable (i.e., these mice did not avoid any of the NaCl concentrations tested, and so estimated thresholds with values >300 mM were not strongly supported by experimental data).
Serum sodium values < 8 mmol/L were excluded (n = 1854) because these were considered data errors.
Remark 1 Note that the bound (9) is a good estimate of t ∗ because we consider our problem (1 - 3) with initial data u 0 ( x ) not too small.
(A ) Venn diagram depicting the overlap between genes with significant eQTL and ASE, among genes tested in both cases (note that the number of genes with eQTL is smaller in this figure than in the overall data set because we consider only the set of genes that were testable for both eQTL and ASE, n = 2280 instead of n = 10,409).
Also, we studied effects of additional counts on single days rather than multiday outbreak effects; however, because the C2 algorithm considers data from only 1 day at a time, this is a reasonable initial approach.
It is true to say we considered that, because their data showing the intracrine effect required overexpression of PTHRP, such a mechanism was unlikely to operate in our system, in which we showed that endogenous PTHRP production was extremely low.
