Incomplete covariate data is a common occurrence in many studies in which the outcome is survival time. With generalized linear models, when the missing covariates are categorical, a useful technique for obtaining parameter estimates is the EM by the method of weights proposed in Ibrahim (1990). In
โฆ LIBER โฆ
Cox Regression with Incomplete Covariate Measurements using the EM-algorithm
โ Scribed by Torben Martinussen
- Book ID
- 108536069
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 206 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0303-6898
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In medical research, a situation commonly arises where new variables are calculated from a common set of directly measured variables. When the directly measured variables each contain an error component, the relationship between the observed calculated variables can often be distorted. A source of t