Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of survival data, illustrated using a wide range of examples from biomedical research. Written in a non-technical style, it concentrates on how the techniques are used in practice. Starting with standard methods for summarising survival data, Cox regression and parametric modelling, the book covers many more advanced techniques, including interval-censoring, frailty modelling, competing risks, analysis of multiple events, and dependent censoring.
This new edition contains chapters on Bayesian survival analysis and use of the R software. Earlier chapters have been extensively revised and expanded to add new material on several topics. These include methods for assessing the predictive ability of a model, joint models for longitudinal and survival data, and modern methods for the analysis of interval-censored survival data.
Features:
Modelling Survival Data in Medical Research, Fourth Edition, is an invaluable resource for statisticians in the pharmaceutical industry and biomedical research centres, research scientists and clinicians who are analysing their own data, and students following undergraduate or postgraduate courses in survival analysis.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
David Collett obtained his first degree at the University of Leicester, before going on to complete an MSc in statistics at the University of Newcastle and a PhD in statistics at the University of Hull. David was a lecturer and senior lecturer in the Department of Applied Statistics at the University of Reading for over 25 years, including eight years as head of that department. In 2003, he was appointed Associate Director of Statistics and Clinical Studies at NHS Blood and Transplant. This involved supervising the statistical work of over 30 staff and collaborative work with transplant clinicians and research scientists. David became Director of the NHS Blood and Transplant Clinical Trials Unit, responsible for the design, conduct and analysis of clinical trials in transplantation and transfusion medicine. He also held a visiting chair in the Southampton Statistical Sciences Research Institute, University of Southampton, until his retirement. He now likes to spend as much time as possible on the golf course.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 17,11 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiGRATIS per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEJUNE24-146105
Quantità: 3 disponibili
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-13506
Quantità: 1 disponibili
Da: SMASS Sellers, IRVING, TX, U.S.A.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. Codice articolo ASNT3-13506
Quantità: 1 disponibili
Da: ALLBOOKS1, Direk, SA, Australia
Codice articolo SHUB146105
Quantità: 1 disponibili
Da: Speedyhen, London, Regno Unito
Condizione: NEW. Codice articolo NW9781032252858
Quantità: 2 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 4th Edition NO-PA16APR2015-KAP. Codice articolo 26396370701
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 400006354
Quantità: 1 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 209. Codice articolo B9781032252858
Quantità: 1 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18396370695
Quantità: 1 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of survival data, illustrated using a wide range of examples from biomedical research. Written in a non-technical style, it concentrates on how the techniques are used in practice. Starting with standard methods for summarising survival data, Cox regression and parametric modelling, the book covers many more advanced techniques, including interval-censoring, frailty modelling, competing risks, analysis of multiple events, and dependent censoring.This new edition contains chapters on Bayesian survival analysis and use of the R software. Earlier chapters have been extensively revised and expanded to add new material on several topics. These include methods for assessing the predictive ability of a model, joint models for longitudinal and survival data, and modern methods for the analysis of interval-censored survival data.Features:Presents an accessible account of a wide range of statistical methods for analysing survival dataContains practical guidance on modelling survival data from the author's many years of experience in teaching and consultancyShows how Bayesian methods can be used to analyse survival dataIncludes details on how R can be used to carry out all the methods described, with guidance on the interpretation of the resulting outputContains many real data examples and additional data sets that can be used for courseworkAll data sets used are available in electronic format from the publisher's websiteModelling Survival Data in Medical Research, Fourth Edition, is an invaluable resource for statisticians in the pharmaceutical industry and biomedical research centres, research scientists and clinicians who are analysing their own data, and students following undergraduate or postgraduate courses in survival analysis. 540 pp. Englisch. Codice articolo 9781032252858
Quantità: 2 disponibili