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
โฆ LIBER โฆ
An objective Bayesian estimation of parameters in a log-binomial model
โ Scribed by Zhou, Rong; Sivaganesan, Siva; Longla, Martial
- Book ID
- 121695628
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 257 KB
- Volume
- 146
- Category
- Article
- ISSN
- 0378-3758
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## Abstract This note considers the optimal and suboptimal sequential and fixed sample size estimation of the unknown binomial parameter, __p__, for a beta prior distribution for __p__ and under quadratic loss and constant observation cost. A numerical comparison of the methods is presented.
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