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We selected relevant environmental predictors using a conceptual framework based on resource-based habitats.
To investigate possible nonlinear relationships, models where linear predictors were replaced by additive predictors, using a Generalized Additive Modelling (GAM) framework66, were also explored.
Post-hoc fiber tracking of the peak white matter lesion predictors using a publicly available tractography atlas revealed evidence consistent with the results of the bottleneck analyses.
This approach was used to compare four popular NMR predictors using a dataset of 1000 molecules and their corresponding experimental spectra.
First, metaPPI combines interface predictors using a voting machine rather than the consensus strategy used by CPORT.
Our long-term prospective study provided an opportunity to estimate levels of retention and their predictors using a modeling approach in the context of various HIV prevention and research program related scenarios such as those described below.
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Using NPMR, species distribution responses were predicted as a function of multiplicative interactions among climate predictors, using an iterative algorithm that maximizes fit by analyzing target points in a local neighborhood in predictor space via distance-weighted smoothing functions.
We found several predictors using an antidepressant at the beginning and at the end of pregnancy.
Initially we estimated the extent of variation in prescribing at the practice level that is explained by the predictors, using an adjusted R measure based on a linear regression model.
Our a priori power analysis based on, at most, six predictors, using an alpha.05, power.80 and large effect size.35 (derived from the aforementioned literature) indicated that our sample size would need to be at least 46 participants [ 43].
We determined the optimal subset of these predictors using an rANOVA-based model selection process, with sampling locations treated as repeated measures and each household treated as an individual observation.
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