The phrase "censored model" is correct and usable in written English.
It can be used in various contexts, for example: "The censored model of language analysis was used to evaluate the text's readability."
To assess the relevance of this feature, we estimate the equation for the working hours per week using a panel data censored model, in particular, the Tobit with fixed effects estimator from Honoré (1992).
Censored model Survival rate Change versus baseline 12 months 24 months 12 months 24 months Overall 42.9 65.7 17.4 14.5 Education Primary or less 47.6 67.8 19.2 16.0 Secondary, 1st st.
A sequential threshold-linear censored model was implemented for the analyses of SURV.
We estimated this as a censored model (i.e. a Tobit model) because WTP i ≥0.
Furthermore, Orzack and Sober take optimality models to be censored models, that is, they are designed to determine the outcome of natural selection in a population where natural selection is the only important force, and hence show, given the model correctly predicts the observed features of the trait being studied, that natural selection was the most important force in its evolution[3].
Each subject has two records, one for baseline and one for year 3. Next we use the proc logistic procedure to calculate the probability of not being censored (Models 3 and 4).
Interval censored models, which use an infant's time to last negative test and time to first positive test to form an interval around his or her (unknown) time of infection, may better accommodate the missing data, but software is not generally available for regression with interval censored data unless we are willing to make parametric assumptions about the distribution of the event times.
Therefore, in regression analysis, we employed censored regression models (Tobit models) to determined factors associated with EQ-5D-5L sindex index and VAS [ 37].
Therefore, in multivariate linear regression, we employed censored regression models or Tobit models to estimate linear relationships between AUD and HRQOL [ 35].
Root-n-consistent estimators of the regression coefficients in the linear censored regression model under conditional quantile restrictions on the error terms were proposed by Powell (Journal of Econometrics 25 (1984) 303 325, 32 (1986a) 143 155).
This revealed a decisive rejection of the censored tobit model.
