9781118027554 - Analysis of Biomarker Data: A Practical Guide di Looney, Stephen W.; Hagan, Joseph L. (22 risultati)

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Hardcover. Condizione: new. Hardcover. A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses frequently encountered challenges in analyzing biomarker data and how to deal with them, methods for the quality assessment of biomarkers, and biomarker study designs. Covering a broad range of statistical methods that have been used to analyze biomarker data in published research studies, Analysis of Biomarker Data: A Practical Guide also features: A greater emphasis on the application of methods as opposed to the underlying statistical and mathematical theoryThe use of SAS, R, and other software throughout to illustrate the presented calculations for each exampleNumerous exercises based on real-world data as well as solutions to the problems to aid in reader comprehensionThe principles of good research study design and the methods for assessing the quality of a newly proposed biomarkerA companion website that includes a software appendix with multiple types of software and complete data sets from the books examples Analysis of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental sciences. An excellent reference for statisticians who routinely analyze and interpret biomarker data, the book is also useful for researchers who wish to perform their own analyses of biomarker data, such as toxicologists, pharmacologists, epidemiologists, environmental and clinical laboratory scientists, and other professionals in the health and environmental sciences. A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Num Pages: 424 pages. BIC Classification: JHBC; PS; UFM. Category: (P) Professional & Vocational. Dimension: 242 x 163 x 28. Weight in Grams: 692. . 2015. 1st Edition. Hardcover. . . . .

Condizione: New. pp. 424.

Condizione: New. Num Pages: 424 pages. BIC Classification: JHBC; PS; UFM. Category: (P) Professional & Vocational. Dimension: 242 x 163 x 28. Weight in Grams: 692. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condizione: New. Stephen W. Looney, PhD, is Professor in the Department of Biostatistics and Epidemiology at Georgia Regents University, USA. He is a fellow of the American Statistical Association and the Royal Statistical Society, an elected member of the International Sta.

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Hardcover. Condizione: Brand New. 405 pages. 9.50x6.50x1.00 inches. In Stock.

Buch. Condizione: Neu. Neuware - A 'how to' guide for applying statistical methods to biomarker data analysisPresenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses frequently encountered challenges in analyzing biomarker data and how to deal with them, methods for the quality assessment of biomarkers, and biomarker study designs.Covering a broad range of statistical methods that have been used to analyze biomarker data in published research studies, Analysis of Biomarker Data: A Practical Guide also features:\* A greater emphasis on the application of methods as opposed to the underlying statistical and mathematical theory\* The use of SAS(r), R, and other software throughout to illustrate the presented calculations for each example\* Numerous exercises based on real-world data as well as solutions to the problems to aid in reader comprehension\* The principles of good research study design and the methods for assessing the quality of a newly proposed biomarker\* A companion website that includes a software appendix with multiple types of software and complete data sets from the book's examplesAnalysis of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental sciences. An excellent reference for statisticians who routinely analyze and interpret biomarker data, the book is also useful for researchers who wish to perform their own analyses of biomarker data, such as toxicologists, pharmacologists, epidemiologists, environmental and clinical laboratory scientists, and other professionals in the health and environmental sciences.

Hardcover. Condizione: new. Hardcover. A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses frequently encountered challenges in analyzing biomarker data and how to deal with them, methods for the quality assessment of biomarkers, and biomarker study designs. Covering a broad range of statistical methods that have been used to analyze biomarker data in published research studies, Analysis of Biomarker Data: A Practical Guide also features: A greater emphasis on the application of methods as opposed to the underlying statistical and mathematical theoryThe use of SAS, R, and other software throughout to illustrate the presented calculations for each exampleNumerous exercises based on real-world data as well as solutions to the problems to aid in reader comprehensionThe principles of good research study design and the methods for assessing the quality of a newly proposed biomarkerA companion website that includes a software appendix with multiple types of software and complete data sets from the books examples Analysis of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental sciences. An excellent reference for statisticians who routinely analyze and interpret biomarker data, the book is also useful for researchers who wish to perform their own analyses of biomarker data, such as toxicologists, pharmacologists, epidemiologists, environmental and clinical laboratory scientists, and other professionals in the health and environmental sciences. A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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

Hardcover. Condizione: Brand New. 405 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses frequently encountered challenges in analyzing biomarker data and how to deal with them, methods for the quality assessment of biomarkers, and biomarker study designs. Covering a broad range of statistical methods that have been used to analyze biomarker data in published research studies, Analysis of Biomarker Data: A Practical Guide also features: A greater emphasis on the application of methods as opposed to the underlying statistical and mathematical theoryThe use of SAS, R, and other software throughout to illustrate the presented calculations for each exampleNumerous exercises based on real-world data as well as solutions to the problems to aid in reader comprehensionThe principles of good research study design and the methods for assessing the quality of a newly proposed biomarkerA companion website that includes a software appendix with multiple types of software and complete data sets from the books examples Analysis of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental sciences. An excellent reference for statisticians who routinely analyze and interpret biomarker data, the book is also useful for researchers who wish to perform their own analyses of biomarker data, such as toxicologists, pharmacologists, epidemiologists, environmental and clinical laboratory scientists, and other professionals in the health and environmental sciences. A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.