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Analysis of Biomarker Data - A Practical Guide (Hardcover)
Loot Price: R3,073
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Analysis of Biomarker Data - A Practical Guide (Hardcover)
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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 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 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.
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