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Biostatistical Methods
Stephen W. . Ed(S): Looney
€ 127.34
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Description for Biostatistical Methods
Paperback. Editor(s): Looney, Stephen W. Series: Methods in Molecular Biology. Num Pages: 216 pages, biography. BIC Classification: PSF. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 12. Weight in Grams: 312.
Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size.
Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size.
Product Details
Format
Paperback
Publication date
2010
Publisher
Humana Press Inc. United States
Number of pages
216
Condition
New
Series
Methods in Molecular Biology
Number of Pages
216
Place of Publication
Totowa, NJ, United States
ISBN
9781617372711
SKU
V9781617372711
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Biostatistical Methods
"The book presents the reader with a representative sampling of biostatistical applications that are used in the study of molecular biology with an emphasis on the development of biomarkers for clinical applications." - Biotech Software & Internet Report "In 10 chapters the authors fulfill the aim to provide sufficient information to cover area of both biostatistics and ... Read more