Sentence examples for multivariable model described from inspiring English sources
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 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.
The multivariable logistic regression model described above did not identify out-of-pocket costs as a significant determinant of hardship.
We used the inverse of the propensity score calculated from the multivariable logistic regression model described above to calculate a probability weight for each person, although only responders to the follow-up questionnaire were included in subsequent analyses [ 23].
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.
Because no one multivariable model adequately described the findings, we chose to present both the multivariable model that had the strongest individual predictors and the adjusted univariate analysis.
