Articles liés à Applied Survival Analysis Using R
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 55,62
EUR 2,32 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisRésultats de recherche pour Applied Survival Analysis Using R
Image d'archives
Applied Survival Analysis Using R (Use R!)
Edité par
Springer, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Ancien ou d'occasion
Paperback
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : Very Good. Cover and edges may have some wear. N° de réf. du vendeur mon0003666241
Quantité disponible : 1 disponible(s)
Image d'archives
Applied Survival Analysis Using R (Use R!)
Edité par
Springer, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Ancien ou d'occasion
Paperback
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
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 : 1 disponible(s)
Image fournie par le vendeur
Applied Survival Analysis Using R
Edité par
Springer International Publishing AG, CH, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
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)
Image fournie par le vendeur
Applied Survival Analysis Using R
Edité par
Springer International Publishing, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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
Image fournie par le vendeur
Applied Survival Analysis Using R
Edité par
Springer International Publishing AG, CH, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
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)
Image d'archives
Applied Survival Analysis Using R (Use R!)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783319312439_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
APPLIED SURVIVAL ANALYSIS USING R.
Edité par
Springer International Publishing AG, Switzerland, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Ancien ou d'occasion
Softcover
Vendeur : Second Story Books, ABAA, Rockville, MD, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
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)
Image d'archives
Applied Survival Analysis Using R (Use R!)
Edité par
Springer, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Ancien ou d'occasion
Couverture souple
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00089331836
Quantité disponible : 1 disponible(s)
Image d'archives
Applied Survival Analysis Using R
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783319312439
Quantité disponible : 10 disponible(s)
Image fournie par le vendeur
Applied Survival Analysis Using R
Edité par
Springer International Publishing, 2016
ISBN 10 : 331931243X
ISBN 13 : 9783319312439
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 9783319312439
Quantité disponible : 1 disponible(s)