The linear model formula is: y=ax+b (y, health indicator; x, BT consumption; a and b are the model calculated coefficients).
The ADNEX model formula is given in supplementary appendix D. The effects of the predictors are presented as odds ratios in table 5. Proportion of solid tissue and serum CA-125 level had the strongest independent relations with the outcome, as judged by the test statistic for the model coefficients (not shown).
The form of the logistic model formula is: p = 1 / 1 + exp − B 0 + B 1 * X 1 + B 2 * X 2 + … + B k * X k where p is the probability that Y is 1, B0 is a constant (called the intercept), and B1 though Bk are the coefficients for the predictor variables X1 through Xk.
Using the model, formulae are found for the distribution functions, the density functions, and the moments of crystal radii during nucleation and growth.
The influence of the parameters of the model on the optimum shapes is demonstrated and, for each model, formulae are derived relating the velocity of motion and the characteristics of the medium with the optimum angle.
The indexes, parameters and variables used in the model formulae are given in list of symbols.
Variable model estimation consisted of a linear model, logarithmic model, and mixed model depending on which formula was selected for the health-related indicators.
The homeostasis model assessment (HOMA) formula was used to estimate fasting insulin resistance (HOMA-IR) from fasting glucose and insulin levels (10).
A set of principles, rather than a single model or formula is proposed for ensuring the sustainability of CBO HIV programmes, as each community must base sustainability plans on the needs, contexts and experiences of its' individuals and families.
Jackson et al. [ 21] published a primary model formula which was fitted to measurements of residual ricin (1) after inactivation in different foods (1) % r i c i n = A e − k t, where A is an empirically determined constant, k is the first-order rate constant, and t is the thermal treatment duration.
