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Theory and Methods - A New Bayesian Model For Survival Data With a Surviving Fraction
Chen, Ming-Hui; Ibrahim, Joseph G.; Sinha, Debaiyari - In: Journal of the American Statistical Association : JASA 94 (1999) 447, pp. 909-919
Persistent link: https://www.econbiz.de/10006626490
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A Predictive Approach to the Analysis of Designed Experiments
Ibrahim, Joseph G.; Laud, Purushottam W. - In: Journal of the American Statistical Association : JASA 89 (1994) 425, pp. 309-319
Persistent link: https://www.econbiz.de/10006636632
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PRIOR DISTRIBUTIONS AND BAYESIAN COMPUTATION FOR PROPORTIONAL HAZARDS MODELS
Ibrahim, Joseph G.; Chen, Ming-Hui - In: Sankhya / B : the Indian journal of statistics 60 (1998) 1, pp. 48-64
Persistent link: https://www.econbiz.de/10006521292
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Regression Models for Identifying Noise Sources in Magnetic Resonance Images
Zhu, Hongtu; Li, Yimei; Ibrahim, Joseph G.; Shi, Xiaoyan; … - In: Journal of the American Statistical Association : JASA 104 (2009) 486, pp. 623-637
Persistent link: https://www.econbiz.de/10008263772
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Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging
Zhu, Hongtu; Chen, Yasheng; Ibrahim, Joseph G.; Li, Yimei; … - In: Journal of the American Statistical Association : JASA 104 (2009) 487, pp. 1203-1212
Persistent link: https://www.econbiz.de/10008328374
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Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial
Herring, Amy H.; Ibrahim, Joseph G.; Lipsitz, Stuart R. - In: Journal of the Royal Statistical Society / C 53 (2004) 2, pp. 293-310
Persistent link: https://www.econbiz.de/10008214829
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Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random
Chen, Qingxia; Zeng, Donglin; Ibrahim, Joseph G. - In: Journal of the American Statistical Association : JASA 102 (2007) 480, pp. 1309-1317
Persistent link: https://www.econbiz.de/10007897765
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Rejoinder - Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data
Zhu, Hongtu; Zhang, Heping; Ibrahim, Joseph G.; … - In: Journal of the American Statistical Association : JASA 102 (2007) 480, pp. 1110-1113
Persistent link: https://www.econbiz.de/10007897786
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Applications and Case Studies - Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data
Zhu, Hongtu; Zhang, Heping; Ibrahim, Joseph G.; … - In: Journal of the American Statistical Association : JASA 102 (2007) 480, pp. 1085-1101
Persistent link: https://www.econbiz.de/10007897789
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Theory and Methods - Comment - Implementation of Estimating Function-Based Inference Procedures With Markov Chain Monte Carlo Samplers
Ibrahim, Joseph G.; Zhu, Hongtu - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 893-895
Persistent link: https://www.econbiz.de/10007861941