Sentence examples for main study model from inspiring English sources

To meet the requirements for this regression calibration method, we also included in the main study model all covariates in the measurement error model.

In the same way as for the main model, to apply the Rosner et al. (1989) method, we included the covariates from the main study model in the measurement error model.

To apply the regression calibration method of Rosner et al. (1989), we first constructed a main study model that relates the log-transformed probability of experiencing any/repeated wheeze to terms for dust endotoxin level (log10-transformed), and covariates using the significant independent predictors identified by Park et al. (2001a, 2001b), as described above.

The main study model was fit among the main study participants to obtain, as well as parameter estimates for the other covariates in the model, and the measurement error model was fit in the validation data to obtain and other parameter estimates.

Additionally, the measurement error model must be linear and homoscedastic, the main study model must be linear on the log prevalence scale, and the usual exposure measure must contain no further information about the distribution of the outcome when data on the gold standard are available.

After the 6 month period of the main study the care model including working with interRAI-LTCF was implemented in the control homes within 3 months.

In fitting the RR model in the main study and measurement error model in the validation study, when no information was available for a binary covariate, missingness indicators were included.

To assess the linearity of the main study and measurement error models, we compared linear models with more flexible restricted cubic spline models that allow for nonlinearity in the relationship between dust endotoxin level and outcome (Durrleman and Simon 1989).

In this work, the main objective is to study, model and predict the mechanical behaviour of adaptive structures by programming the finite element method and optimization algorithms based on micro-bats' echolocation capacity.

As in the main study [ 15], these models were adjusted for age, sex, race, and ethnicity, and missing data were handled directly through maximum likelihood estimation via mixed modeling.

Because there was no difference in the main study findings between conditional logistic regression models and unconditional models adjusting for the matching factors and because using conditional regression resulted in the loss of matched sets with samples collected in different seasons for the case and her controls, unconditional logistic regression was used for the season-specific analyses.