The candidate models included: (i) time elapsed since control, (ii) poison-baiting frequency (baiting/year), (iii) distance from human activity centers (e.g. towns, camping grounds), (iv) dingo abundance, and for howling only: (v) breeding season (between April-August, following [16]).
Random Forest (RF) classification was used to predict 8- and 24-week success, defined as undetectable HIV-1 RNA, comparing nested models including (i) GRT+TH and (ii) TH without GRT, using multiple cross-validation and area under the receiver operating characteristic curve (AUC).
Production models included (i) revenue from sales of heifers and steers, (ii) replacement costs, (iii) feeding costs, (iv) veterinary and medicine costs and (v) other variable costs, such as bedding costs (Additional file 1: Table S2).
It is widely accepted that xenograft mouse models which feature cancer cells growing in their natural location resemble the clinical situation closer than subcutaneous mouse models including (i) extensive local tumor growth, (ii) metastases to the liver and regional lymph nodes, and (iii) distant metastases to the diaphragm and mediastinal lymph nodes.
Obvious imperfections that should be taken into account in our model include: (i) fluctuations of the doping density, (ii) fluctuations in (d_{B}) and (d_{W}), (iii) fluctuations in (V_{B}).
Main characteristics of the model include: i) grain size-dependent diffusion and particle density, ii) a vertically stratified wind, iii) particle diffusion within the risingrain size-dependentling velocities that includiffusionions in the Reynolds number depending on whether pandicles follow a laminar or turbulent flow regime.
Advantages of such a model include (i) consideration of probe-probe variation, (ii) easily interpretable confidence of the detections and (iii) straight forward false discovery rate (FDR) control/estimate [ 18, 19].
Examples of settings with a two-variance components model include (i) a null model that contains a background kernel to correct for confounding factors (owing to, for example, family relatedness and population structure) (Listgarten et al., 2013), and (ii) gene gene interaction tests where the null model contains a background kernel for the additive gene terms (Li and Cui, 2012).
Important new features of this model include: (i) the simulation of AR in multiple tissue compartments (i.e., brain, liver, and gonad); (ii) AR binding and its effects upon the HPG axis; and (iii) free androgen effects on brain AR concentration.
The kinetic model included (i) steady-state scheme; (ii) reversible inhibition of the enzyme by alcohols; and (iii) aggregation of water W + W ↔ WW.
