To date, computer-intensive non-parametric modelling procedures such as classiΓΏcation and regression trees (CART) and multivariate adaptive regression splines (MARS) have rarely been used in the analysis of epidemiological studies. Most published studies focus on techniques such as logistic regressi
β¦ LIBER β¦
Non-parametric heteroscedastic transformation regression models for skewed data with an application to health care costs
β Scribed by Xiao-Hua Zhou; Huazhen Lin; Eric Johnson
- Book ID
- 111039031
- Publisher
- Blackwell Publishing
- Year
- 2008
- Tongue
- English
- Weight
- 685 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0952-8385
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## Abstract I examine the effects of insurance status and managed care on hospitalization spells, and develop a new approach for sample selection problems in parametric duration models. MLE of the Flexible Parametric Selection (FPS) model does not require numerical integration or simulation techniq