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For the estimation of interactions for parental probands, the additive model considered data as 2 × SIR − 1.0; the multiplicative model was fitted as SIR × SIR (17); SIR is the familial RR in offspring when one parent was affected.
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To develop this model, the following stages were carried out: literature review to identify information about QFD use, analysis of data collected in a field research and review of data from previous interviews with QFD users, and the application of AD (Axiomatic Design) to develop the conceptual model considering data from previous stages.
The models considered data on only readily measurable variables that were captured in the clinical trial.
The model only considered data on readily measurable variables.
A General Predictive Model is a predictive model established considering data collected from projects of several organizations.
For the rest of the considered data, the model predicts the minimum at times earlier than that observed in the measurements.
However, they both embedded only a single interaction model in the data and considered data sets with only 100 SNPs; Moreover, [ 50] evaluated only 2-way and 3-way interaction detection, while [ 49] evaluated only two-way interaction detection.
Practice deprivation is the strongest predictor of such emergency admissions, and the deprivation effect varies by quantile under the second model considered for these data.
The exceedance probability of a model is the probability that it is more likely than any other model considered, given the data.
The difference in response to treatment protocols across the groups was assessed using a multivariable logistic regression model considering baseline data as probable independent confounders.
Owing to the complexity of the data model considered, inconsistent redundancy of tuples may occur when database relations being operated are associated with different resemblance relations on a given domain.
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