computational methods biomedical research (7 Ergebnisse)

1st ed. 17 x 24 cm. 432 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

hardcover. Zustand: Good. Zustand des Schutzumschlags: No Dust Jacket. Hardcover. Superficial marks and light scores on boards. Leading corners, edges and spine ends are lightly bumped and worn. Page block is lightly marked. Previous owner's name penned on half title page. Minor pen marks on some pages. Text is clear throughout. Binding is sound. HCW. Used.

Paperback. Zustand: Brand New. 432 pages. 9.25x6.25x0.75 inches. In Stock.

Zustand: New. Ravindra Khattree, Dayanand N. NaikContinuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Zustand: Brand New. 1st edition. 408 pages. 9.75x6.75x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before moving on to more advanced discussions of applications. The book begins with microarray data analysis, machine learning techniques, and mass spectrometry-based protein profiling. It then uses state space models to predict US cancer mortality rates and provides an overview of the application of multistate models in analyzing multiple failure times. The book also describes various Bayesian techniques, the sequential monitoring of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for analyzing longitudinal data. Supplying the knowledge necessary to perform sophisticated statistical analyses, this reference is a must-have for anyone involved in advanced biomedical and pharmaceutical research. It will help in the quest to identify potential new drugs for the treatment of a variety of diseases.