The Tobit model, also known as a censored regression model to account for left-and/or right-
censoring in the dependent variable, has been used in many areas of applications …

The random effect Tobit model is a regression model that accommodates both left‐and/or
right‐censoring and within‐cluster dependence of the outcome variable. Regression …

Common problems to many longitudinal HIV/AIDS, cancer, vaccine, and environmental
exposure studies are the presence of a lower limit of quantification of an outcome with …

Mean survival time is often of inherent interest in medical and epidemiologic studies. In the
presence of censoring and when covariate effects are of interest, Cox regression is the …

BACKGROUND: In many epidemiologic longitudinal studies, the outcome variable has floor
or ceiling effects. Although it is not correct, these variables are often treated as normally …

The tobit model allows a censored response variable to be described by covariates. Its
applications cover different areas such as economics, engineering, environment and …

The use of tobit models to study censored and limited dependent variables has become
increasingly common in applied social science research over the past two decades …

In some applications statisticians are confronted with values which are reported to be below
a limit of detection or quantitation. These left-censored variables are a challenge in the …

Zero-inflated (ZI) models, which may be derived as a mixture involving a degenerate
distribution at value zero and a distribution such as negative binomial (ZINB), have proved …

Censored data are characteristics of many bioassays in HIV/AIDS studies where assays may
not be sensitive enough to determine gradations in viral load determination among those …