Works matching IS 03233847 AND DT 2020 AND VI 62 AND IP 1
Results: 22
An approach to model clustered survival data with dependent censoring.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 157, doi. 10.1002/bimj.201800391
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A comparison of the beta‐geometric model with landmarking for dynamic prediction of time to pregnancy.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 175, doi. 10.1002/bimj.201900155
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The statistical analysis of multivariate failure time data: A marginal modeling approach.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 254, doi. 10.1002/bimj.201900317
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Berkson's paradox and weighted distributions: An application to Alzheimer's disease.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 238, doi. 10.1002/bimj.201900046
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SIMEX for correction of dietary exposure effects with Box‐Cox transformed data.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 221, doi. 10.1002/bimj.201900066
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Computational Bayesian statistics: An introduction.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 256, doi. 10.1002/bimj.201900307
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Parametric modal regression with varying precision.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 202, doi. 10.1002/bimj.201900132
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Flexible parametric model for survival data subject to dependent censoring.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 136, doi. 10.1002/bimj.201800375
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Latent variable models for harmonization of test scores: A case study on memory.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 34, doi. 10.1002/bimj.201800146
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Joint model for recurrent event data with a cured fraction and a terminal event.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 24, doi. 10.1002/bimj.201800321
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A multiple comparison procedure for dose‐finding trials with subpopulations.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 53, doi. 10.1002/bimj.201800111
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Applied compositional data analysis: with worked examples in R.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 250, doi. 10.1002/bimj.201900263
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Generalized linear models with examples in R.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 253, doi. 10.1002/bimj.201900264
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Beyond the proportional frailty model: Bayesian estimation of individual heterogeneity on mortality parameters.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 124, doi. 10.1002/bimj.201800280
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Joint mean–covariance random effect model for longitudinal data.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 7, doi. 10.1002/bimj.201800311
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A two‐phase Bayesian methodology for the analysis of binary phenotypes in genome‐wide association studies.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 191, doi. 10.1002/bimj.201900050
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Meta‐analysis of the difference of medians.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 69, doi. 10.1002/bimj.201900036
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Distribution‐free simultaneous tests for location–scale and Lehmann alternative in two‐sample problem.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 99, doi. 10.1002/bimj.201900057
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Contents: Biometrical Journal 1'20.
- Published in:
- Biometrical Journal, 2020, v. 62, n. 1, p. 5, doi. 10.1002/bimj.202070014
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- Article
Masthead: Biometrical Journal 1'20.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 4, doi. 10.1002/bimj.202070013
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- Article
Editorial Board: Biometrical Journal 1'20.
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- Biometrical Journal, 2020, v. 62, n. 1, p. 3, doi. 10.1002/bimj.202070012
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- Article
Cover Picture: Biometrical Journal 1'20.
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- Biometrical Journal, 2020, v. 62, n. 1, p. NA, doi. 10.1002/bimj.202070011
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- Article