Sentence examples for multivariable models described from inspiring English sources
These were put into the same two-HapMap SNP multivariable models described above where possible in order to evaluate the sensitivity of the data.
We examined the following baseline variables (gathered through in-person interview or ACASI) as potential confounders in the multivariable models (described below).
Several covariates, including demographics and clinical characteristics that are potentially relevant to AMD and the use of intravitreal anti-VEGF therapies, were measured throughout the baseline period to describe the study sample and to be used in the multivariable models described below.
As previously described, 23 we generated a logistic regression model that predicted bisphosphonate use among stroke patients conditional on the variables included in the multivariable model described earlier.
Under the multivariable model described above, the adjusted RRs of any cancer were 1.06 (95% CI 1.04 1.08) for napping sometimes and 1.11 (1.07–1.15) for napping usually vs rarely/never (Supplementary Figure 1).
Results from the multivariable model describing the hazards for removal from the herd due to reproductive problems revealed the following hazards (in order of importance): COD both in the previous and the present lactation, calving season, region, twins or singleton at birth and herd size.
These are readily performed as extensions to the multivariable regression models described above, by simply introducing the appropriate interaction terms.
12 Many studies, particularly in CHF, have generated multivariable regression models describing factors most important in predicting readmissions.
For these analyses, we used multivariable models as described above but additionally included serum 25-hydroxyvitamin D and retinol concentrations (determined by HPLC–atmospheric pressure chemical ionization tandem mass spectrometry at Vitas, Oslo, Norway) as well as total fat mass assessed by DXA.
Heritability of this trait was estimated after fitting the multivariable model as described above.
The final estimates from the multivariable model are described in Table 1, along with their associated scores.
