𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Flexible competing risks regression modeling and goodness-of-fit

✍ Scribed by Thomas H. Scheike; Mei-Jie Zhang


Publisher
Springer
Year
2008
Tongue
English
Weight
562 KB
Volume
14
Category
Article
ISSN
1380-7870

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Parameter Estimation and Goodness-of-Fit
✍ L. Blizzard; W. Hosmer πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 248 KB πŸ‘ 2 views

An estimate of the risk, adjusted for confounders, can be obtained from a fitted logistic regression model, but it substantially over-estimates when the outcome is not rare. The log binomial model, binomial errors and log link, is increasingly being used for this purpose. However this model's perfor

Analysis of goodness-of-fit for Cox regr
✍ Sin-Ho Jung; Sam Wieand πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 239 KB

If the proportional hazards model (PHM) holds, the regression coefficients for t-year survival probability using the log-log link are equal to those of Cox's PHM with reverse sign for any time point t. In this article, the goodness-of-fit of Cox's model is checked by fitting the log-log regression m

Goodness-of-fit tests for nonlinear hete
✍ Jean Diebolt; Jacques Zuber πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 128 KB

This paper is devoted to goodness-of-ΓΏt tests for parametric possibly nonlinear heteroscedastic regression models. The test statistic is constructed using a marked empirical process based on residuals. We investigate the consistency of this test statistic and of the estimators needed to compute it.