Sentence examples for binary additive regression model from inspiring English sources

The risk of windthrow is predicted using the binary additive regression model with explicit spatial component by Schmidt et al. (2010).

The information about single trees, stands and sites to predict windthrow probability is crucial to many different statistical model approaches such as the binary additive regression model used in this study, a discriminant model by Valinger et al. (1993), a logistic regression model by Kellomäki and Peltola (1998), and a neural network approach by Hanewinkel et al. (2004).

Each set of predictors was tested with a logistic and an additive regression model.

In addition to a standard multiple logistic regression model, we thus also fitted a piecewise linear regression model [ 20] and a generalised additive regression model (GAM) [ 21].

The disease-specific disability rates are estimated from the additive regression model.

The full flexibility of additive regression models remains within the constraint conditions.

For the subsequent statistical analyses, we suggest general additive regression models (GAM, Zuur et al. 2009).

We found this odd, since assumptions for statistical models are quite distinct (binary logistic regression model vs. linear regression model).

Independence between SNP associations was tested by conditional analysis in PLINK, where the allelic dosage for a given SNP was added as a covariate in a binary logistic regression model (additive model).

Generalized additive regression, piecewise linear regression, and multiple linear regression models were used for data analyses.

Binary logistic regression model was used for analysing data.