Sentence examples for model selection analysis from inspiring English sources

A stepwise model selection analysis was performed, yielding the same markers that were selected by stepwise model selection using an ordinary Cox model (data not shown).

The relationships between each ecosystem attribute and pressure should be established formally by confronting the data (or model output) with alternative mathematical functions and performing a model selection analysis.

The shape of the attribute-pressure relationship and the ease with which an objective threshold point can be defined should drive the choice of which mathematical functions to consider in the model selection analysis.

Results of model selection analysis.

To provide a complementary perspective, in our model selection analysis we entertain inference under the premise that such zero effects do have substantial prior probability.

We performed a model selection analysis to determine whether and how the above habitat variables might be related to observed variation in selection among study sites.

These include methods for unique molecular identifiers and sequencing error correction, V(D J assignment and detection of novel alleles, clonal assignment, lineage tree construction, somatic hypermutation modeling, selection analysis, and analysis of stereotyped or convergent responses.

We aimed to infer this mechanistic relationship and to test the stability of it over a threshold change in climate and a change in the dominant tree species on the landscape using a model-fitting and model-selection analysis of long-term ecological data.

Furthermore, in order for model-fitting and model-selection analysis of palaeoecological data to yield sufficient information to be useful for predictive modelling, this approach needs to be used to analyze a greater variety of transitions in dominant plant functional types.

Our model-selection analysis suggested a difference in prevalence (corrected for detection) according to tick race (Table 1), as indicated by our top two models (cumulative QAICc weight = 0.69).

A post hoc Bayesian model selection family analysis was used to evaluate the posterior probabilities of a modulatory effect on each (set) of the pathways.