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Titlebook: Diagnosis and Prediction; Seymour Geisser Book 1999 Springer Science+Business Media New York 1999 Survival analysis.control.health.mathema

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發(fā)表于 2025-3-21 18:28:15 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Diagnosis and Prediction
編輯Seymour Geisser
視頻videohttp://file.papertrans.cn/271/270584/270584.mp4
叢書名稱The IMA Volumes in Mathematics and its Applications
圖書封面Titlebook: Diagnosis and Prediction;  Seymour Geisser Book 1999 Springer Science+Business Media New York 1999 Survival analysis.control.health.mathema
描述This IMA Volume in Mathematics and its Applications DIAGNOSIS AND PREDICTION is one of the series based on the proceedings of a very successful 1997 IMA Summer Program on "Statistics in the Health Sciences. " I would like to thank Seymour Geisser of University of Minnesota, School of Statistics for his excellent work as organizer of the meeting and for editing the proceedings. I am grateful to Donald A. Berry, Duke Uni- versity (Statistics); Patricia Grambsch, University of Minnesota (Biostatis- tics); Joel Greenhouse, Carnegie Mellon University (Statistics); Nicholas Lange, Harvard Medical School (Brain Imaging Center, McLean Hospital); Barry Margolin, University of North Carolina-Chapel Hill (Biostatistics); Sandy Weisberg, University of Minnesota (Statistics); Scott Zeger, Johns Hopkins University (Biostatistics); and Marvin Zelen, Harvard School of Public Health (Biostatistics) for organizing the six weeks summer program. I also take this opportunity to thank the National Science Foundation (NSF) and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr. , Professor and Director v PREFACE This volume contains refereed papers subm
出版日期Book 1999
關(guān)鍵詞Survival analysis; control; health; mathematics; public health; screening; statistics
版次1
doihttps://doi.org/10.1007/978-1-4612-1540-0
isbn_softcover978-1-4612-7184-0
isbn_ebook978-1-4612-1540-0Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer Science+Business Media New York 1999
The information of publication is updating

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The Utility of the Hui-Walter Paradigm for the Evaluation of Diagnostic Test in the Analysis of Socc policy decisions rely on the unemployment rate and related labor statistics. As the unemployment rate is the ratio of the estimated number of unemployed persons to the total labor force, misclassification of survey respondents may lead to an under or over estimate of it. Thus, estimating the accur
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Monte Carlo Minimization for One Step Ahead Sequential Control,f sequential one step ahead updating solutions by simulating realizations from the predictive distribution of model parameters and approximating the predictive expected loss (PEL) by averaging over the simulations. The minimizer of the approximate PEL is taken to approximate the exact PEL. The appro
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Multivariate Discrete Models for Longevity in Twins,0. If individuals are matched at random then a stochastically large number of pairs observed both alive at great ages is evidence of a genetic and/or environmental effect for longevity. We extend earlier work (Yu, Waller, Zelterman, ., 1998) to a multivariate setting and find the simultaneous and co
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