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First, we tested situations in which the true genetic and statistical models contained both types of environmental sensitivities for different sets of genetic parameters and designs.
Initial models contained both a random intercept for facility (level 3) and a random intercept for subjects (level 2) nested in facilities.
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What we intend to show is that the discrete nature of the minor allele coding can introduce artifacts such as main effects in models where none are explicitly present and how marginal effects are attenuated by an interaction term in models containing both.
In this paper we consider design of observers for non-linear models containing both dynamic and algebraic equations, so called differential-algebraic equations (DAE) or descriptor models.
In this paper, we consider design of observers for non-linear models containing both dynamic and algebraic equations, so-called differential-algebraic equations (DAE), of index 1.
The database used to induce the models contains both natural and anthropogenic drainage area characteristics for 294 USGS stream gages (164 in Texas and 130 in Illinois).
Fitness was a significant factor only for the mecillinam resistance group (Supplementary Fig. 6e) and similarly, models containing both resistance mechanism and fitness were non-significant for all resistance groups, with the exception of the mecillinam-resistant mutants (Supplementary Fig. 6f).
In the models containing both a strong lithosphere and local weak zones, the rift configuration depends on their shape and relative positions, with necking always going through the weak zones.
Some of the automaker's gasoline-electric hybrid Prius models contain both of the potential defects, taking the total number of vehicles affected by the recalls to 3.37 million.
Multinomial logistic regression with models containing both main effects and an interaction term between HLA DRB1*1501 status and CCSVI status variables did not provide evidence for a role for interactions.
Adjusted odds ratios on individual-level variables did not change significantly when area-level variables were added to the model, and the models containing both individual- and area-level variables were better fit (LR test, p<0.001), though the change in the predictive power of the model was very modest (small changes in C-statistics).
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