Sentence examples for model conditioned on from inspiring English sources
The estimates on relative prevalence were calculated with a conditional logistic regression model, conditioned on age in 5-year strata and calendar year of diagnosis.
Second, in this model conditioned on (a floor), the average height rises, and in fact the height of almost all sites concentrates on levels H, H + 1 where.
Where sage were not present, we applied an autoregressive moving-average model conditioned on grass lysimeter measurements to derive evapotranspiration rates.
The probabilities are iteratively revised using expected values of the frequency of occurrence of the possible expansions, based on the current PCFG model, conditioned on the corpus.
The latent topic distribution of the test image is then computed as the activation probability (p({mathbf{h}} ^{L} mid {mathbf{v}} _mathrm{test})) of the topmost hidden layer in the HDLA model conditioned on the BoVW representation of the given test image.
We also fit the simplest model conditioned on the first infection including it into the analysis.
Odds Ratios (OR) and 95%-Confidence Intervals (CI) were assessed by conditional logistic regression models conditioned on age (five years age groups) [ 29].
The odds ratios for prostate cancer by quintiles of 25(OH D from conditional logistic regression models conditioned on the matching variables and adjusted for lifestyle variables are shown in Table 2. Results showed no significant association between concentrations of 25(OH D and overall risk of prostate cancer, with or without adjustment for covariates.
Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) for subsequent quintiles of GI and GL were estimated using conditional multiple logistic regression models, conditioned on age and sex (Breslow and Day, 1980).
With these available techniques, reliability models conditioned on additional events can be updated.
Application of the models to 62 validation watersheds throughout the Great Lakes basin indicated that model simulations were far more sensitive to the temporal characterization of hydrologic response than to the type of regression technique employed, and that models conditioned on individual monthly runoff ratios (rather than long term mean values) performed better.
