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Resampling-Based Multiple Testing
Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
Scrutinizing Industry-Funded Science: The Crusade Against Conflicts of Interest
For approximately a century, industry has been a powerful motivating force in the creation of new technology and the underwriting of scientific research. Yet the last two decades have seen the development of a sweeping conflicts of interest movement aimed squarely at curtailing academic/industry biomedical research collaborations and restricting membership on government scientific advisory boards to researchers associated with industry.
Translational Medicine
Examines Critical Decisions for Transitioning Lab Science to a Clinical SettingThe development of therapeutic pharmaceutical compounds is becoming more expensive, and the success rates for getting such treatments approved for marketing and to the patients is decreasing. As a result, translational medicine (TM) is becoming increasingly important in
Classification, Clustering, and Data Mining Applications
This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
Statistical Inference as Severe Testing
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
