Constantine Gatsonis; Robert E. Kass; Bradley Carlin; Alicia Carriquiry; Andrew Gelman; Isabella Verdinelli; Mike West Springer-Verlag New York Inc. (2001) Pehmeäkantinen kirja
Constantine Gatsonis; Robert E. Kass; Bradley Carlin; Alicia Carriquiry; A. Gelman; Isabella Verdinelli; Mike West Springer-Verlag New York Inc. (1998) Pehmeäkantinen kirja
Constantine Gatsonis; Robert E. Kass; Alicia Carriquiry; Andrew Gelman; David Higdon; Donna K. Pauler; Isabell Verdinelli Springer-Verlag New York Inc. (2002) Pehmeäkantinen kirja
Constantine Gatsonis; James S. Hodges; Robert E. Kass; Robert E. McCulloch; Peter Rossi; Nozer D. Singpurwalla Springer-Verlag New York Inc. (1997) Pehmeäkantinen kirja
Adrian Levy (ed.); Sarah Goring (ed.); Constantine Gatsonis (ed.); Boris Sobolev (ed.); Ewout van Ginneken (ed.); Re Busse Springer (2019) Kovakantinen kirja
The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in detail while the latter were presented in poster format. This volume contains the three invited case studies with the accompanying discussion as well as ten contributed pa pers selected by a refereeing process. The majority of case studies in the volume come from biomedical research. However, the reader will also find studies in education and public policy, environmental pollution, agricul ture, and robotics. INVITED PAPERS The three invited cases studies at the workshop discuss problems in ed ucational policy, clinical trials design, and environmental epidemiology, respectively. 1. In School Choice in NY City: A Bayesian Analysis ofan Imperfect Randomized Experiment J. Barnard, C. Frangakis, J. Hill, and D. Rubin report on the analysis of the data from a randomized study conducted to evaluate the New YorkSchool Choice Scholarship Pro gram. The focus ofthe paper is on Bayesian methods for addressing the analytic challenges posed by extensive non-compliance among study participants and substantial levels of missing data. 2. In Adaptive Bayesian Designs for Dose-Ranging Drug Trials D. Berry, P. Mueller, A. Grieve, M. Smith, T. Parke, R. Blazek, N.