Language: English
Published by SAGE Publications, Inc, 2009
ISBN 10: 1412953723 ISBN 13: 9781412953726
Seller: GoldBooks, Denver, CO, U.S.A.
Hardcover. Condition: very good. Very Good Copy. Customer Service Guaranteed.
Language: English
Published by SAGE Publications, Inc, 2009
ISBN 10: 1412953723 ISBN 13: 9781412953726
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Language: English
Published by SAGE Publications, Inc, 2009
ISBN 10: 1412953723 ISBN 13: 9781412953726
Seller: Scissortail, Oklahoma City, OK, U.S.A.
Condition: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by SAGE Publications, Inc, 2009
ISBN 10: 1412953723 ISBN 13: 9781412953726
Seller: CampusBear, Coppell, TX, U.S.A.
hardcover. Condition: Good. Normal wear from daily use. May include markings or highlighting.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
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Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.Features:All you need to know to correctly make an online risk calculator from scratch. Discrimination, calibration, and predictive performance with censored data and competing risks. R-code and illustrative examples. Interpretation of prediction performance via benchmarks. Comparison and combination of rival modeling strategies via cross-validation.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by Chapman and Hall/CRC 2022-08-29, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 290 pages. 9.25x6.50x0.75 inches. In Stock.
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Kartoniert / Broschiert. Condition: New. Thomas A. Gerds is professor at the biostatistics unit at the University of Copenhagen. He is affiliated with the Danish Heart Foundation. He is author of several R-packages on CRAN and has taught statistics courses to non-statisticians .
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.Features:All you need to know to correctly make an online risk calculator from scratch. Discrimination, calibration, and predictive performance with censored data and competing risks. R-code and illustrative examples. Interpretation of prediction performance via benchmarks. Comparison and combination of rival modeling strategies via cross-validation.
Language: English
Published by Routledge 2021-02-01, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: New.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by SAGE Publications, Inc, 2009
ISBN 10: 1412953723 ISBN 13: 9781412953726
Seller: BEST BOOK, Richardson, TX, U.S.A.
hardcover. Condition: New. Ship within 24hrs. 100% Satisfaction is Our #1 Goal!
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 158.57
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Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
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Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. In.
Language: English
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
£ 229.48
Quantity: Over 20 available
Add to basketHardback. Condition: New. Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.Features:All you need to know to correctly make an online risk calculator from scratch. Discrimination, calibration, and predictive performance with censored data and competing risks. R-code and illustrative examples. Interpretation of prediction performance via benchmarks. Comparison and combination of rival modeling strategies via cross-validation.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 290 pages. 9.25x6.25x1.00 inches. In Stock.
Language: English
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 113838447X ISBN 13: 9781138384477
Seller: Rarewaves.com UK, London, United Kingdom
£ 211.06
Quantity: Over 20 available
Add to basketHardback. Condition: New. Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.Features:All you need to know to correctly make an online risk calculator from scratch. Discrimination, calibration, and predictive performance with censored data and competing risks. R-code and illustrative examples. Interpretation of prediction performance via benchmarks. Comparison and combination of rival modeling strategies via cross-validation.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367673738 ISBN 13: 9780367673734
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 290 pages. 9.25x6.50x0.75 inches. In Stock. This item is printed on demand.