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, 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
Maksa helposti kortilla, Klarnalla, Apple Paylla tai Google Paylla. Etkö ole tyytyväinen? Sinulla on aina 14 päivän palautusoikeus. Lue lisää ehdoistamme. Jos sinulla on kysyttävää, lähetä meille sähköpostia osoitteeseen hello@memmo.org.
Memmo tekee opiskelusta helpompaa – missä päin maailmaa ikinä oletkin. Meillä yhdistät kurssikirjat ja fiksut opiskelutyökalut yhteen paikkaan: tiivistelmät, visat, podcastit ja muistikortit. Ja sitten Ted, opiskelukaverisi, joka vastaa kaikkeen, mitä ikinä mietitkin. Yli 50 000 opiskelijaa opiskelee jo täällä – rakennettu auttamaan sinua oppimaan nopeammin ja stressaamaan vähemmän.