Computational Methods in Biomedical Research

✍ Scribed by Ravindra Khattree (Editor); Dayanand Naik (Editor)

Publisher: Chapman and Hall/CRC
Year: 2007
Leaves: 432
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 computatio

✦ Table of Contents

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.

✦ Subjects

Bioscience;Bioinformatics;Pharmaceutical Science;Clinical Trials - Pharmaceutical Science;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods

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