Resumen
We obtain maximum likelihood estimates of the parameters when the observations on the response variable in a repeated measures design are truncated above a cutpoint. The maximum likelihood equations are solved iteratively using an EM-like procedure. It is observed that these estimates have smaller mean squared error than recently proposed iterative weighted least-squares estimates. The results are applied to data arising from a study of dioxin elimination in Air Force veterans.
Idioma original | English (US) |
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Páginas (desde-hasta) | 2975-2988 |
Número de páginas | 14 |
Publicación | Statistics in Medicine |
Volumen | 19 |
N.º | 21 |
DOI | |
Estado | Published - nov 15 2000 |
ASJC Scopus subject areas
- Epidemiology
- Statistics and Probability