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In both papers, data sets were artificially generated by considering statistical models to emulate ion drift measurements along hypothetical Swarm satellite tracks.
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By considering statistical Kronecker channel model involving channel mean and antenna correlation, the robust linear processing schemes in imperfect CSI scenario for both hops are first derived based on mean squared error (MSE) criterion.
Here we consider instead the possibilities provided by a Bayesian approach to risk analysis, which also incorporates the ascertainment procedure and reference information concerning the genetic composition of the target population to the considered statistical model.
We continue here by considering various statistical models and, in particular, how to estimate the effect of one or more factors that may predict survival.
Confounders had been identified when the addition of a covariate to the model changed the odds ratio (OR) by 10%, without considering statistical significance.
The signal strength of each received packet is computed by considering a statistical component modeling fading and a deterministic one accounting for urban obstructions.
This concept, called dependent happenings[ 1, 2], should be considered in statistical models to assess CD risk, for example by incorporating explicative variables describing exposure [ 2].
However, the interactions we considered in statistical models failed to identify any evidence of effect modification by age.
Moreover, this indicator is insufficiently considered by multivariable statistical models.
We considered statistical and biologic factors in selecting which covariates to include in adjusted models.
We considered a statistical model for prediction as follows: Phenotype (P ) = Genotype (G ) + Clinical factor (E ).
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