Vendeur
Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Vendeur AbeBooks depuis 10 septembre 2024
PRINT ON DEMAND pp. 256. N° de réf. du vendeur 18375622536
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis.
Because explaining survival analysis requires more advanced mathematics than many other statistical topics, this book is organized with basic concepts and most frequently used procedures covered in earlier chapters, with more advanced topics near the end and in the appendices. A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics.
À propos de l?auteur:
Dirk F. Moore is Associate Professor of Biostatistics at the Rutgers School of Public Health and the Rutgers Cancer Institute of New Jersey. He received a Ph.D. in biostatistics from the University of Washington in Seattle and, prior to joining Rutgers, was a faculty member in the Statistics Department at Temple University. He has published numerous papers on the theory and application of survival analysis and other biostatistics methods to clinical trials and epidemiology studies.
Titre : APPLIED SURVIVAL ANALYSIS USING R
Éditeur : Springer
Date d'édition : 2016
Reliure : Couverture souple
Etat : New
Vendeur : Second Story Books, ABAA, Rockville, MD, Etats-Unis
Softcover. Octavo, ix, xiv, 226 pages. In Very Good condition. Paperback binding. Spine dark orange and yellow with white and gray lettering. Covers have extremely slight wear including minor edge wear. Mild cocking to the spine. Text block has very light wear including light pencil interiorly. Illustrated. NOTE: Shelved in Netdesk Column Q, ND-Q. 1394658. FP New Rockville Stock. N° de réf. du vendeur 1394658
Quantité disponible : 1 disponible(s)
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
Paperback. Etat : Very Good. Cover and edges may have some wear. N° de réf. du vendeur mon0003666241
Quantité disponible : 1 disponible(s)
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00091801592
Quantité disponible : 1 disponible(s)
Vendeur : medimops, Berlin, Allemagne
Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. N° de réf. du vendeur M0331931243X-V
Quantité disponible : 1 disponible(s)
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR010107172
Quantité disponible : 2 disponible(s)
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
paperback. Etat : New. 1st ed. 2016. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 002072756N
Quantité disponible : 16 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Clearly illustrates concepts of survival analysis principles and analyzes actual survival data using R, in addition to including an appendix with a basic introduction to ROrganized via basic concepts and most frequently used procedures, with advan. N° de réf. du vendeur 117108252
Quantité disponible : Plus de 20 disponibles
Vendeur : Best Price, Torrance, CA, Etats-Unis
Etat : New. SUPER FAST SHIPPING. N° de réf. du vendeur 9783319312439
Quantité disponible : 2 disponible(s)
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 25932489-n
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Paperback. Etat : New. 1st ed. 2016. Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis.Because explaining survival analysis requires more advanced mathematics than many other statistical topics, this book is organized with basic concepts and most frequently used procedures covered in earlier chapters, with more advanced topics near the end and in the appendices. A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics. N° de réf. du vendeur LU-9783319312439
Quantité disponible : 1 disponible(s)