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We set M equal to 50 for the standard model (one parameter) and 100 for the alternative models (two parameters).

To optimize the MacCAT-CR scoring system and to determine necessary item weights, we will use a specific extension of the Rasch measurement model One Parameter Logistic Model (OPLM) [ 36].

The backward elimination procedure uses the likelihood ratio test (LRT) to simplify a complex model one parameter at a time; in this case we start at the top of Figure 1 (FE1) and use the LRT to remove non-significant parameters in a step-wise fashion.

In this model, one parameter represents the branch of interest and the other parameter represents the rest of the orthologous gene tree (i.e., Model = 2 and Nsites = 2).

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Full and reduced models (one parameter less) were compared by the χ test of difference between their respective objective function values (OBJ).

With the purpose of verifying the pattern of unexpected item responses, a residual analysis was performed using Rasch model (one-parameter logistic model).

This is different from a model-dependent covariance matrix model with one parameter for each of its elements.

The model depends on one parameter, the cut-off λ, that must be fit by comparison to actual sequence data.

In this model, only one parameter is necessary to describe the complexity of the data, the Hurst exponent (H).

In comparison, the Ising model uses one parameter, temperature, to simulate global brain activity.

If the concentration was increased to 5% in our pig model, only one parameter (pulmonary artery pressure) worsened significantly compared to placebo.

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