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Applied Missing Data Analysis in the Health Sciences (Statistics in Practice)
Seller: Corner of a Foreign Field, Tokyo, TOKYO, Japan
Seller rating 5 out of 5 stars
First Edition
US$ 50.00
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Add to basketHardcover. Condition: Very Good. No Jacket. 1st Edition. 2014.Hardcover.Very good condition.230 pages.Ships from Japan.Usually ships in 1-2 working days.
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Condition: New. pp. 256.
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US$ 114.09
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Condition: As New. Unread book in perfect condition.
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US$ 127.25
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Applied Missing Data Analysis in Health Sciences
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 125.72
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Applied Missing Data Analysis in Health Sciences
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 135.56
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Applied Missing Data Analysis in the Health Sciences (Statistics in Practice)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 148.61
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Applied Missing Data Analysis in the Health Sciences
Published by John Wiley and Sons Inc, US, 2014
ISBN 10: 0470523816 ISBN 13: 9780470523810
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
US$ 174.52
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Add to basketHardback. Condition: New. Applied Missing Data Analysis in the Health Sciences A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using SAS®, Stata®, R, and WinBUGS software packagesNumerous examples of case studies to illustrate real-world scenarios and demonstrate applications of discussed methodologiesDetailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.
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Applied Missing Data Analysis in the Health Sciences
Published by John Wiley & Sons Inc, 2014
ISBN 10: 0470523816 ISBN 13: 9780470523810
Language: English
US$ 229.14
Convert currencyUS$ 13.62 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 1st edition. 230 pages. 9.00x6.00x1.00 inches. In Stock.
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Applied Missing Data Analysis in the Health Sciences
Published by John Wiley and Sons Inc, US, 2014
ISBN 10: 0470523816 ISBN 13: 9780470523810
Language: English
US$ 163.51
Convert currencyUS$ 88.56 shipping from United Kingdom to U.S.A.Quantity: 5 available
Add to basketHardback. Condition: New. Applied Missing Data Analysis in the Health Sciences A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using SAS®, Stata®, R, and WinBUGS software packagesNumerous examples of case studies to illustrate real-world scenarios and demonstrate applications of discussed methodologiesDetailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.
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US$ 227.33
Convert currencyUS$ 34.06 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Like New. Like New. book.
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Applied Missing Data Analysis in the Health Sciences
Published by John Wiley & Sons Inc, 2014
ISBN 10: 0470523816 ISBN 13: 9780470523810
Language: English
US$ 172.63
Convert currencyUS$ 13.62 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 1st edition. 230 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.
