Found: 14
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Group testing regression model estimation when case identification is a goal.
- Published in:
- Biometrical Journal, 2013, v. 55, n. 2, p. 173, doi. 10.1002/bimj.201200168
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- Article
Cover Picture: Biometrical Journal 2'13.
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- Biometrical Journal, 2013, v. 55, n. 2, p. NA, doi. 10.1002/bimj.201370021
- Publication type:
- Article
Asymmetric regression models with limited responses with an application to antibody response to vaccine.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 156, doi. 10.1002/bimj.201100116
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- Article
Contents: Biometrical Journal 2'13.
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- Biometrical Journal, 2013, v. 55, n. 2, p. NA, doi. 10.1002/bimj.201370024
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- Article
A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 231, doi. 10.1002/bimj.201200152
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- Article
Sample size calculation for studies comparing binary outcomes using historical controls.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 190, doi. 10.1002/bimj.201200100
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- Article
Masthead: Biometrical Journal 2'13.
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- Biometrical Journal, 2013, v. 55, n. 2, p. NA, doi. 10.1002/bimj.201370023
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- Article
Letter to the Editor.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 264, doi. 10.1002/bimj.201200116
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- Article
Simultaneous confidence intervals for comparing biodiversity indices estimated from overdispersed count data.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 246, doi. 10.1002/bimj.201200157
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- Article
Editorial Board: Biometrical Journal 2'13.
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- Biometrical Journal, 2013, v. 55, n. 2, p. NA, doi. 10.1002/bimj.201370022
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- Article
Author's reply.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 266, doi. 10.1002/bimj.201200256
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- Article
Bayesian nonparametric centered random effects models with variable selection.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 217, doi. 10.1002/bimj.201100149
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- Article
Sample size calculations for noninferiority trials with Poisson distributed count data.
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- Biometrical Journal, 2013, v. 55, n. 2, p. 203, doi. 10.1002/bimj.201200142
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- Article
Efficient approximate k-fold and leave-one-out cross-validation for ridge regression.
- Published in:
- Biometrical Journal, 2013, v. 55, n. 2, p. 141, doi. 10.1002/bimj.201200088
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- Article