Predicting treatment efficacy via quantitative magnetic resonance imaging: a Bayesian joint model-Reference-Cited by-同舟云学术

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Predicting treatment efficacy via quantitative magnetic resonance imaging: a Bayesian joint model

Published:2011-10-10 Issue:1 Volume:61 Page:83-98
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:

Author:

Wu Jincao,Johnson Timothy D.,Galbán Craig J.,Chenevert Thomas L.,Meyer Charles R.,Rehemtulla Alnawaz,Hamstra Daniel A.,Ross Brian D.

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-9876.2011.01015.x/fullpdf

Reference27 articles.

1. Bayesian analysis of binary and polychotomous response data;Albert;J. Am. Statist. Ass.,1993

2. Diffusion-tensor MRI: theory, experimental design and data analysis-a technical review;Basser;NMR Biomed.,2002

3. Towards Bayesian image analysis;Besag;J. Appl. Statist.,1993

4. Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors;Chenevert;J. Natn. Cancer Inst.,2000

5. Combined effect of tumor necrosis factor-related apoptosis-inducing ligand and ionizing radiation in breast cancer therapy;Chinnaiyan;Proc. Natn. Acad. Sci. USA,2000

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