Estimating overall exposure effects for the clustered and censored outcome using random effect Tobit regression models.
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 coefficients of random effect Tobit models have conditional interpretations on a constructed latent dependent variable and do not...
| Publicado en: | Statistics in Medicine Vol. 35; no. 27; pp. 4948 - 4961 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
11/30/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |