Computational Methods in Biomedical Research

Informationen zum Autor Ravindra Khattree! Dayanand N. Naik Zusammenfassung Using real-world data from disease areas, such as cancer and HIV, this book explores important computational statistical methods that are employed in biomedical research. It discusses microarray data analysis, machine learning techniques, and mass spectrometry-based protein profiling. Inhaltsverzeichnis Preface. Microarray Data Analysis. Machine Learning Techniques for Bioinformatics: Fundamentals and Applications. Machine Learning Methods for Cancer Diagnosis and Prognostication. Protein Profiling for Disease Proteomics with Mass Spectrometry: Computational Challenges. Predicting US Cancer Mortality Counts Using State Space Models. Analyzing Multiple Failure Time Data Using SAS® Software. Mixed-Effects Models for Longitudinal Virologic and Immunologic HIV Data. Bayesian Computational Methods in Biomedical Research. Sequential Monitoring of Randomization Tests. Proportional Hazards Mixed-Effects Models and Applications. Classification Rules for Repeated Measures Data from Biomedical Research. Estimation Methods for Analyzing Longitudinal Data Occurring in Biomedical Research. Index.

Product details

• Authors: Khatree Khatree, Ravindra Khatree, Ravindra (Oakland University Khattree, Ravindra Naik Khattree
• Assisted by: Ravindra Khattree (Editor), Ravindra (Oakland University Khattree (Editor), Khattree Ravindra (Editor), Dayanand Naik (Editor), Dayanand (Old Dominion University Naik (Editor), Dayanand N. Naik (Editor), Naik Dayanand (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 12.12.2007
• EAN: 9781584885771
• ISBN: 978-1-58488-577-1
• No. of pages: 432
• Series: Chapman & Hall/CRC Biostatistics Series; Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Biology; COMPUTERS / Computer Science, SCIENCE / Life Sciences / Biology, computer science, Biology, life sciences