A whole-blood RNA transcript-based prognostic model in men with castration-resistant prostate cancer: a prospective study von Ross, Robert W, MD, Galsky, Matthew D, MD, Scher, Howard I, Prof, Magidson, Jay, PhD, Wassmann, Karl, MBA, Lee, Gwo-Shu Mary, PhD, Katz, Leah, MD, Subudhi, Sumit K, MD, Anand, Aseem, MD, Fleisher, Martin, PhD, Kantoff, Philip W, Prof, Oh, William K, Prof

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Transcriptome profiling of whole blood cells identifies PLEK2 and C1QB in human melanoma von Luo, Yuchun, Robinson, Steven, Fujita, Junichi, Siconolfi, Lisa, Magidson, Jay, Edwards, Carl K, Wassmann, Karl, Storm, Kathleen, Norris, David A, Bankaitis-Davis, Danute, Robinson, William A, Fujita, Mayumi

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Correlated Component Regression: Re-thinking Regression in the Presence of Near Collinearity von Magidson, Jay

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Latent class models for classification von Vermunt, Jeroen K., Magidson, Jay

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Blood mRNA Expression Profiling Predicts Survival in Patients Treated with Tremelimumab von SAENGER, Yvonne, MAGIDSON, Jay, FRIEDLANDER, Philip, LIAW, Bobby, DE MOLL, Ellen, HARCHARIK, Sara, YICHUN FU, WASSMANN, Karl, FISHER, David, KIRKWOOD, John, OH, William K

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Key Issues and Potential Solutions for Understanding Healthcare Preference Heterogeneity Free from Patient-Level Scale Confounds von Groothuis-Oudshoorn, Catharina G. M., Flynn, Terry N., Yoo, Hong Il, Magidson, Jay, Oppe, Mark

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Latent Class Factor and Cluster Models, Bi-Plots, and Related Graphical Displays von Magidson, Jay, Vermunt, Jeroen K.

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Blood mRNA signature to predict survival in patients with metastatic melanoma treated with tremelimumab von Saenger, Yvonne M., Magidson, Jay, Liaw, Bobby Chi-Hung, Wassmann, Karl, Barker, William, Harcharik, Sara, Fisher, David, Oh, William K., Friedlander, Philip

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Latent Class Analysis With Sampling Weights: A Maximum-Likelihood Approach von Vermunt, Jeroen K., Magidson, Jay

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Latent Class Analysis With Sampling Weights von Vermunt, Jeroen K, Magidson, Jay

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A validated whole-blood RNA transcript-based prognostic model that predicts survival in men with castration-resistant prostate cancer von Oh, William K., Kantoff, Philip, Scher, Howard I., Magidson, Jay, Wassmann, Karl, Lee, Gwo-Shu Mary, Katz, Leah M., Subudhi, Sumit Kumar, Anand, Aseem, Fleisher, Martin, Galsky, Matt D., Ross, Robert W

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Some Common Pitfalls in Causal Analysis of Categorical Data von Magidson, Jay

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Comment on current issues and a 'wish list' for conjoint analysis von Magidson, Jay, Vermunt, Jeroen K.

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Computer-Implemented Models Predicting Outcome Variables and Characterizing More Fundamental Underlying Conditions von MAGIDSON JAY

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Maximum Likelihood Assessment of Clinical Trials Based on an Ordered Categorical Response von Magidson, Jay

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COMPUTER-IMPLEMENTED MODELS PREDICTING OUTCOME VARIABLES AND CHARACTERIZING MORE FUNDAMENTAL UNDERLYING CONDITIONS von MAGIDSON, JAY

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Development and Evaluation Process of a Pediatric Long-Bone Fracture Classification Proposal von Audigé, Laurent, Hunter, James, Weinberg, Annelie M, Magidson, Jay, Slongo, Theddy

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PRIME/PROXY MODEL ENHANCEMENT von WASSMANN, KARL, MAGIDSON, JAY

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PRIME/PROXY MODEL ENHANCEMENT von WASSMANN, KARL, MAGIDSON, JAY

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Multivreg: An SAS Program to Test the Multivariate General Linear Hypothesis von Magidson, Jay

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