MRIs were obtained for each subject for constraining source models to individual brain anatomy.
We addressed this initially by fitting models to individual hive data in which site was a random effect, each site comprising one cluster of six hives.
Several previous studies (Ichinose et al. 2003; Hikima and Koketsu 2005; Asano and Iwata 2009) constructed proper layered structure models to individual stations based on the waveform modeling of small events and succeeded in obtaining a detailed source rupture process.
We applied logistic regression models to individual-level data to calculate adjusted odds ratios (AORs) and confidence intervals (CIs).
Therefore, limiting the model to individuals positive for HCV RNA ensures that the model includes only current infections.
Applying a prediction model to individuals whose distributions of characteristics or measurements (e.g. predictors and test results) outside the range of those used in model development is a form of extrapolation and may compromise a model's performance.
One specific technique, fitting a parametric model to individual respondent curves, has been recently proposed.
A comparison of the explosion model to individual explosive fragmentations occurring in the 1990s and observed by the Haystack and HAX radars was made.
The joint analysis follows and completes the standard procedure made in two-steps: (1) least-squares fit of a model to individual spectra; (2) evaluation of dependence of model parameters on the control variable.
We adopt a Bayesian framework for statistical inference and use MCMC methods for fitting the model to individual case data.
