Royston patrick (9 Ergebnisse)
- Softcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 339 pages. 9.20x7.20x0.90 inches. In Stock.
- Hardcover
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
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Zustand: New. In.
- Softcover
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EUR 96,72
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Zustand: 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.
- Hardcover
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EUR 152,07
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Zustand: New. pp. xvii + 303 Illus.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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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.
- Hardcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 1st edition. 322 pages. 9.50x6.50x1.00 inches. In Stock.
- Hardcover
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EUR 187,47
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Zustand: 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 pa…ges, 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.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 162,27
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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. De…spite 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.
