We propose a maximum likelihood estimator (MLE) of the kappa coefficient from a 2 x 2 table when the binary ratings depend on patient and/or clinician effects. We achieve this by expressing the logit of the probability of positive rating as a linear function of the subject-specific and the rater-spe
Consistency of logistic regression coefficient estimates calculated from a training sample
β Scribed by Petros Hadjicostas
- Book ID
- 104302083
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 249 KB
- Volume
- 62
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
The paper deals with logistic regression when the sample is split into training and holdout sub-samples. Under the assumption that, asymptotically, the ratio of the sizes of the two sub-samples is approximately ΓΏxed, we prove that the logistic regression coe cient MLEs calculated from the training sample are consistent.
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