We discuss a method of weighting the likelihood equations with the aim of obtaining fully efficient and robust estimators. We discuss the case of discrete probability models using several weighting functions. If the weight functions generate increasing residual adjustment functions then the method p
Sequential maximum likelihood estimation with applications to logistic regression in case-control studies
β Scribed by Patricia Grambsch
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 854 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0378-3758
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