Next, an estimator, e.g., maximum likelihood (ML) is exploited to fit the candidates to the real data, and finally, the GOF test is performed to quantify the level of similarity between the fitted candidates and the real data.
To describe the relative species occupancy of species across boreal Alberta, we plotted the occupancy versus rank across all sites, and then fit candidate non-linear models to the distribution to determine the model of best fit.
Laydon and colleagues proposed, as an alternative approach, to fit candidate models to successively smaller nested subsamples of the actual data and then choose the best performing model to extrapolate the estimate to the real population size [ 10].
Results from the stepwise Cox proportional hazards regression analysis conducted to identify the most parsimonious predictive model for diabetes incidence, fitting candidate predictors plus race/ethnicity, showed that race/ethnicity, age, BMI, waist circumference, education, smoking status, physical activity, family history of diabetes, and dietary quality score entered the model.
Jacob made no effort to solicit members for his commune other than through his newspapers and sometimes rejected applicants when he felt they were not fit candidates.
Beilhart made no attempt to solicit members for his commune and sometimes rejected applicants when he felt they were not fit candidates.
Next, we estimated the best x min value for each region and fitted different candidate functions to the part of the distribution which exceeds x min (cf. fourth row in Table 1).
Next, we fitted the candidate model to the reduced data set containing data from all locations except the left-out location.
For every gene in the data sets, we fitted several candidate functions through the 15 (15-way core set) and 11 (11-way core set) data points of dN and dS.
A multivariable logistic regression model using the forward stepwise likelihood ratio method was fitted with candidate risk factors including age, sex, BMI, waist circumference, systolic blood pressure, family history of diabetes, educational level, and residence.
