Weighing the Evidence
Duality, Set, & Measure Theory in Clinical Research Analyses
by
Book Details
About the Book
Clinical research is being strangled. Developed in the 1920’s, statistical hypothesis testing was accepted into mainstream medical research in the 1950s and served well to provide structure to clinical research. However statistical hypothesis testing was not developed specifically for clinical research, and has been forced to undergo continuous adaptations in order to maintain relavance. Despite this effort, it has not kept up with clinical research sophistication that now generates an abundance of analyses. Since it has been unable to adapt sufficiently, statistical hypothesis testing is stunting the growth of clinical research, maintaining its p-value dominance at an unacceptable cost. The thesis of this book is that clinical resesarch, with its need to assess benefit and risk, its safety perogative, and its plethora of resarch designs, requires an analysis rubric specifically designed for it. This new foundation is based on 1) the concept of duality, where a statistical effect size estimate can simultaneously provide evidence for benefit and evidence for harm, and 2) the notion that clinical research analyses can be partitioned into regions of analysis that can be weighted through the use of set and measure theory. The entire theory is provided from first principals, requiring only a rudimentary background in clincal research.
About the Author
Dr. Lem Moyé, M.D., Ph.D. is a physician, epidemiologist, and biostatistician. After receiving his M.D. at the Indiana University Medical School, he completed post doctoral training at Purdue University and the University of Texas. Dr. Moyé has conducted federally sponsored research for over 30 years, including 12 years investigating cell therapy for heart disease. He has published over 220 manuscripts, 11 books including one novel, and has worked with both the US FDA and pharamaceutical companies. Dr. Moyé has taught graduate classes in epidemiology and biostatistics for three decades and has served as an expert witness in both state and federal court. He served as a volunteer physician during the Hurricane Katrina calamity, and his memories of that experience led his prize winning book, Caring for Katrina’s Survivors.