Regression Model Sample Clauses
Regression Model. Yi = ▇ ▇ + β1*HMO (0/1) + β2*Age + β3*Female (0/1) + β4*Smoker ()/1) + β5*Private Insurance (0/1) + β6*Race + β7*Marital Status + β8*Region of the U.S. + β9*Education level + β10*Health Status (self-perceived) + β11*Income (%FDL) + ε In the two-part model, Yi first entails any ER expenditures: Pr(y > 0jx) = F(xδ) where x represents the explanatory variables and δ the corresponding parameters to be estimated. In the second part, the model is conditional E(y | y > 0, x) = g(xγ) ) where x, again, represents the explanatory variables γ represents the parameters to be estimated and g stand for the transformation function. [36] ▇ ▇ is the intercept, β1- β11 represent the coefficients of each explanatory variable, and ε is the error term. Perceived health status is a proxy for comorbidities, which are often present in asthma patients. The average person with asthma has 2.3 other chronic conditions. Income as a percentage of FPL corrects for the difference in single person income and family income and is a proxy for socio-economic status.
Regression Model. Y = b0 + b1X1 + b2X2 + …..+ bnXn + Έ Whereby: Y = Dependent Variable b0 = Constant (Intercept) b1, b2, bn = Beta coefficients (slopes) for independent variables X1, X2, Xn respectively X1, X2, Xn = Independent Variables Έ = Standard error term The study included all variables in the regression model by using an OLS estimation technique. The final model looks as the follows.
Regression Model. Yi‟s = β0 + β1*% AST Time + β2* Access to school within community + (β3* % AST Time * Access to school within community) + β4* Intensity of PA in and outside school + β5‟s* Urbanization Indices + β6* Nutrition + β7* Household characteristics + β8* Individual characteristics + Person Fixed (Random) Effect + Time Fixed Effect + µi In these models, Yi‟s is outcomes including being obese, being overweight, and BMI z-score. In this equation, β0 is the intercept, βi represents the coefficients of each explanatory variable, β3 is the coefficient of the interaction term which is of main interest, µi is the residual, and β5‟s are coefficients of the twelve urbanization indices. Additionally, nutrition is measured by daily caloric intake. Household characteristics include mother‟s BMI and family size, and individual characteristics include region, gender, as well as age at the base line survey.