ISBN: 9780470023563 - applied mixed models in medicine (statistics in practice) (28 Ergebnisse)

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Hardcover. Zustand: Near Fine. 2nd Edition. Clean pages. Ships in sturdy cardboard packaging. Booksellers since 1997 [950].

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Hardcover. Zustand: sehr gut. Zustand des Schutzumschlags: sehr gut. Hardcover. gr. 8°. xviii, 455 pages. second edition. with figures and tables. little rubbed. good condition. Wiley-Series, Statistics in Practice". in englischer Sprache (in english).

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Zustand: New. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. Series: Statistics in Practice. Num Pages: 476 pages, Illustrations. BIC Classification: MBGR. Category: (P) Professional & Vocational. Dimension: 236 x 156 x 35. Weight in Grams: 888. . 2006. 2nd Edition. Hardcover. . . . . …

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Zustand: New. Helen Brown, Principal Statistician, NHS Scotland, Edinburgh, UKRobin Prescott, Medical Statistics Unit, University of Edinburgh Medical School, UKA mixed model allows the incorporation of both fixed and random variables within a statistical analysis. T.

Hardcover. Zustand: Brand New. 2nd edition. 455 pages. 9.25x6.00x1.25 inches. In Stock.

Zustand: New. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. Series: Statistics in Practice. Num Pages: 476 pages, Illustrations. BIC Classification: MBGR. Category: (P) Professional & Vocational. Dimension: 236 x 156 x 35. Weight in Grams: 888. . 2006. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Zustand: New. pp. 478 Index.

Buch. Zustand: Neu. Neuware - A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This new edition of a groundbreaking text discusses the latest developments, from updated SAS techniques to the increasingly wide range of applications.\* Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on bioequivalence, cluster randomised trials and missing data.\* Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists.\* Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output.\* Features new version of SAS, including the procedure PROC GLIMMIX and an introduction to other available software.\* Supported by a website featuring computer code, data sets, and further material, available at: chs.med.ed.ac.uk/phs/mixed/.This much-anticipated second edition is ideal for applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The text will also be of great value to a broad range of scientists, particularly those working the medical and pharmaceutical areas.…

Zustand: New. pp. 478 Illus. This item is printed on demand.

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 832.

Hardcover. Zustand: new. Hardcover. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This new edition of a groundbreaking text discusses the latest developments, from updated SAS techniques to the increasingly wide range of applications. Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on bioequivalence, cluster randomised trials and missing data.Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists.Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output.Features new version of SAS, including the procedure PROC GLIMMIX and an introduction to other available software.Supported by a website featuring computer code, data sets, and further material, available at: This much-anticipated second edition is ideal for applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The text will also be of great value to a broad range of scientists, particularly those working the medical and pharmaceutical areas. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Zustand: Brand New. 2nd edition. 455 pages. 9.25x6.00x1.25 inches. In Stock. This item is printed on demand.

Zustand: New. PRINT ON DEMAND pp. 478.