type 2 TobitThis article considers estimation of a Type 2 Tobit model with Bickel-Doksum transformation of the dependent variable of the regression equation. The basic idea is that while the transformed dependent variable is assumed to be normally distributed prior to any censoring, the inverse ...
Using the tobit model, the effect on tariff values was as follows: myocardial infarction = -0.055 (95% confidence interval [CI] = -0.067, -0.042), blindness in 1 eye = -0.074 (95% CI= -0.124, -0.052), ischemic heart disease = -0.090 (95% CI = -0.126, -0.054), hear...
In a fully adjusted model, psoriasis was associated with coronary artery calcium (Tobit regression ratio, 0.89; P < .001) similar to the association in type 2 diabetes (Tobit regression ratio, 0.79; P = .04). Likelihood ratio testing revealed incremental value for psoriasis in a ...
Type 2 Tobitselection modelquadraticA Type 2 Tobit model with a common set of regressors in the selection and regression equations is identified by the nonlinearity of the distribution function. The estimates are relatively less precise than in cases where there are at least some distinct regressors...
Methods HRQoL of 4,613 individuals who participated in a population-based cross-sectional diabetes survey in Qingdao, China, in 2009, was assessed using the 15D instrument. A Tobit regression model to estimate the effects of diabetes on HRQoL separate from effects of other health determinants was...
After controlling for covariates, EQ-5D scores significantly increased when patients had walked once per week for at least 10 min in the Tobit regression model. The frequency of walking was the most significant predicting factor for better HRQoL in patients with type 2 diabetes....