We employed multiple linear and logistic regression for multivariable analysis.
We also employed multivariate logistic regression and assessed the adequacy of the models using a Hosmer and Lemeshow type residual analysis [ 21].
We used univariate logistic regression to determine the variables that predisposed to ICC, and then employed multivariate logistic regression without intercept to select the most important variable.
Likewise, WHR and BMI, also continuous, were coded and employed in the logistic models as so-called "action level" dichotomies [ 1] (e.g., WHR ≥ 0.90 for men or WHR ≥ 0.80 for women was coded as "high" WHR by gender, BMI ≥ 27 was coded as "high" BMI for both genders, and "high" was contrasted with "low" WHR or BMI in the models).
The authors employed the logistic regression model and rewrote it for J samples and I' genes as follow (13) E (Y j | β ) = h - 1 (α + ∑ i = 1 I ′ x i j β i ) where α is the intercept, β i the regression coefficient for gene i, h the logit function, x ij is the gene i expression profile and j is the index for the samples (j = 1,..., J).
Data on the frequency of occurrence of behaviour in four components of related ridden behaviour problems were explored for association with details of the horse's working life, including the type of tack, equipment and training used, and the frequency the professional services of saddlers and farriers were employed using logistic regression analyses.
Rivoli and Brewer 1998 employed a logistic regression model to evaluate country risk.
The International Diabetes Mellitus Practice Study (IDMPS) was a 5-year survey that documented changes in diabetes treatment practice in developing regions and employed logistic regression analysis to identify factors for achieving HbA1c <7% in 11,799 patients, 1898 with T1DM and 9901 with T2DM; patients were recruited from 17 countries in Eastern Europe, Asia, Latin America, and Africa [ 15].
Bessette and Carter [ 9] employed multivariable logistic regression to investigate which serum chemistry values are significantly associated with in-patient hospital costs exceeding $3,000 in any single month.
To assess the relationships between a given autoantibody and clinical manifestations, we employed multiple logistic regression with forward selection of independent variables.
