Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Published by Cambridge University Press
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Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Hardcover. Condition: new. Hardcover. This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Add to basketHardcover. Condition: Brand New. 1st edition. 278 pages. 9.75x7.00x0.75 inches. In Stock.
Published by Cambridge University Press, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Add to basketHardcover. Condition: Brand New. 1st edition. 278 pages. 9.75x7.00x0.75 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketGebunden. Condition: New. Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allow.
Published by Cambridge University Press Jul 2022, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Add to basketBuch. Condition: Neu. Neuware - Revised edition of: Applied linear models with SAS, 2010.
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108478182 ISBN 13: 9781108478182
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.