Risk Assessment and Evaluation of Predictions: Lecture Notes in Statistics, cartea 215
Editat de Mei-Ling Ting Lee, Mitchell Gail, Ruth Pfeiffer, Glen Satten, Tianxi Cai, Axel Gandyen Limba Engleză Paperback – 11 dec 2013
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Specificații
ISBN-13: 9781461489801
ISBN-10: 1461489806
Pagini: 460
Ilustrații: XI, 445 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.66 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seriile Lecture Notes in Statistics, Lecture Notes in Statistics - Proceedings
Locul publicării:New York, NY, United States
ISBN-10: 1461489806
Pagini: 460
Ilustrații: XI, 445 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.66 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seriile Lecture Notes in Statistics, Lecture Notes in Statistics - Proceedings
Locul publicării:New York, NY, United States
Public țintă
GraduateCuprins
Preface.- Methods for Evaluating Prediction Performance of Biomarkers and Tests.- Multiple Imputation Approach for Surrogate Marker Evaluation in the Principal Strati cation Causal Inference Framework.
Notă biografică
Mei-Ling-Ting Lee, Ph.D. Professor and Chairman Department of Statistics University of Maryland College Park, Maryland.
Textul de pe ultima copertă
Risk analysis is the science of evaluating health, environmental, or engineering risks resulting from past, current, or anticipated future activities. Risk analysis is an interdisciplinary subject that relies on epidemiology and laboratory studies, collection of exposure and other field data, computer modeling, and related biomedical, social, and economic considerations. This proceedings volume, with contributions from invited presentations at the 2011 International Conference on Risk Assessment and Evaluation of Predictions, gives detailed coverage of methods of risk analysis as well as more recent developments in the areas of evaluation and prediction of risks. The conference was organized by the Biostatistics & Risk Assessment Center at the University of Maryland, and was held in Silver Spring, Maryland in October of 2011. This volume will serve as a valuable reference for researchers working in these topic areas.
Caracteristici
Comprehensively covers clinical risk analysis and risk prediction in the host of fields in clinical medicine, including cancer and cardiovascular disease New survival and regression analysis techniques discussed Applies directly to areas of statistical genetics and marker identification Includes supplementary material: sn.pub/extras