Hardcover. Zustand: Used, like new. Perfect condition except very minor surface imperfections visible only in reflected light. Glossy blue hardcover without jacket. ** We are a small family business selling fine new and pre-owned books online since 1999. We provide professional service and individual attention to your order, daily shipments, and sturdy packaging. FREE TRACKING ON ALL SHIPMENTS WITHIN USA. **Your purchase supports our town's public library.
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In den WarenkorbZustand: new. New!
Sprache: Englisch
Verlag: Stata Press, College Station, 2011
ISBN 10: 1597180793 ISBN 13: 9781597180795
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Paperback. Zustand: new. Paperback. Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 339 pages. 9.20x7.20x0.90 inches. In Stock.
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In den WarenkorbZustand: New.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. pp. xxvi + 347.
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Stata Press, College Station, 2011
ISBN 10: 1597180793 ISBN 13: 9781597180795
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Paperback. Zustand: new. Paperback. Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New. Patrick Royston is a senior medical statistician at the Medical Research Council, London, UK. He has published research papers on a variety of topics in leading statistics journals. His key interests include multivariable modeling and va.
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Couverture souple. Zustand: Neuf.
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days.
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In den WarenkorbZustand: New. pp. xvii + 303 Illus.
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Erstausgabe
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In den WarenkorbZustand: New. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. Series: Wiley Series in Probability and Statistics. Num Pages: 322 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 249 x 175 x 23. Weight in Grams: 690. . 2008. 1st Edition. Hardcover. . . . .
Zustand: New. pp. xvii + 303.
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Taschenbuch. Zustand: Neu. Neuware - Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 322 pages. 9.50x6.50x1.00 inches. In Stock.
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In den WarenkorbZustand: New. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. Series: Wiley Series in Probability and Statistics. Num Pages: 322 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 249 x 175 x 23. Weight in Grams: 690. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Buch. Zustand: Neu. Neuware - Multivariable regression models are widely used in all areas of science in which empirical data are analysed. Using the multivariable fractional polynomials (MFP) approach this book focuses on the selection of important variables and the determination of functional form for continuous predictors. Despite being relatively simple, the selected models often extract most of the important information from the data. The authors have chosen to concentrate on examples drawn from medical statistics, although the MFP method has applications in many other subject-matter areas as well.Multivariable Model-Building:\* Focuses on normal-error models for continuous outcomes, logistic regression for binary outcomes and Cox regression for censored time-to-event data.\* Concentrates on fractional polynomial models and illustrates new approaches to model critisism and stability.\* Provides comparisons with and discussion of other techniques such as spline models.\* Features new strategies on modelling interactions with continuous covariates which are important in the context of randomized trials and observational studies\* Does not consider high-dimensional data, such as gene expression data.\* Is illustrated throughout with working examples from more than 20 substantial real datasets, most data sets and programs in Stata are available on a website enabling the reader to apply techniques directly\* Is written in an accessible and informal style making it suitable for researchers from a range of disciplines with minimal mathematical backgroundThis book provides a readable text giving the rationale of, and practical advice on, a unified approach to multivariable modelling. It aims to make multivariable model building simpler, transparent and more effective. This book is aimed at graduate students studying regression modelling and professionals in statistics as well as researchers from medical, physical, social and many other sciences where regression models play a central role.Patrick Royston DSc, is a senior statistician and cancer clinical trialist at the MRC Clinical Trials Unit, London, an honorary professor of statistics at University College London, and a fellow of the Royal Statistical Society. He has authored many research papers in biostatistics, and has published over 150 articles in leading statistical journals. Patrick is an experienced statistical consultant, Stata programmer and software author.Willi Sauerbrei PhD, is a senior statistician and professor in medical biometry at the IMBI, University Medical Center Freiburg. He has authored many research papers in biostatistics, and has published over 100 articles in leading statistical and clinical journals. He worked for more than two decades as an academic biostatistician and has extensive experience of cancer research, with a particular concern for breast cancer.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. pp. xxvi + 347 Illus. This item is printed on demand.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 140,58
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 752.
Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470028424 ISBN 13: 9780470028421
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Erstausgabe Print-on-Demand
EUR 127,76
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In den WarenkorbHardcover. Zustand: new. Hardcover. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables in a multivariable context, a topic for which there is no standard approach. Existing options range from very simple step functions to highly complex adaptive methods such as multivariate splines with many knots and penalisation. This new approach, developed in part by the authors over the last decade, is a compromise which promotes interpretable, comprehensible and transportable models. Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 322 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.