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[1] The standard fashion of applying the results of a large clinical trial to an individual patient requires building a statistical model using trial data and applying the model to the patient according to known measured risk factors of that patient.
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For the process, we considered the observed average H/V ratios from eight moderate (M5 M5.5) aftershocks (Table 2) and compared them with the theoretical H/V ratios for the velocity models using trial and error.
Only two papers tested the fit of their proposed models using trial recruitment data, Anisomov and Williford [ 7, 8].
The functional significance of MPFC/ACC for fear recall is further substantiated by the fact that MPFC/ACC responses in the present study scaled with the magnitude of the CS+-evoked CR, as modeled using trial-by-trial SCRs as a parametric modulator of the neural CS+-evoked response.
While many models use trial-and-error learning, they are not developmental models like ILGM and ILGA in the sense that they begin learning at a phase corresponding to grasping development in infants 9 months and older.
Based on the standard error estimated from the Cox-PH model using hypofractionation trial data, 1000 simulations would produce an estimate to within at least 1.5percentt of the true coefficient.
The lag size and the number of lags in conjunction with the model functions were selected using trial and error approach.
The normal spring constant and the coefficient of rolling friction in the contact model of DEM were adjusted using trial and error, considering the allowable time step, sinkage of the grouser, and the slope angle of the cavity behind the grouser.
The thermal conductivities of pork under pressure conditions: 100, 150 and 200 MPa were estimated by the model using error trials.
This model does not use trial and error procedure to decide the threshold molecular weight where the intrinsic viscosity starts to deviate from the Mark-Houwink relation.
Finally, a mathematical simulation model, using data from the trial, will allow extrapolations of the potential effects of Prosdex on health-service resource use, for example the impact on urological services, and on health outcomes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com