Towards A New Paradigm For Statistical Evidence

Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.

Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

A pioneer treatment of monetary economics written by two of world's leading authorities.

Essays on Consciousness: Towards a New Paradigm is Ingrid Fredriksson ́s third book on consciousness and includzes famous coauthors from all over the world—Deepak Chopra ́s coauthor Menas C. Kafatos on The Mysteries of Consciousness, as well as Elizabeth A. Raucher, Russell Targ, and Dr. Amit Goswami, to name a few. Olle Johansson, PhD (Sweden), writes in this book about understanding adverse health effects of artificial electromagnetic fields. Is rocket science needed or just common sense? This is a very important question these days. Eve Isham will talk on “Save Free Will from Science,” and Rupert Sheldrake, PhD (England), will talk on “The Extended Mind.” “Millennial Science,” “The Imminent Age of Discovery’s Conscious Technologies” is Richard L. Amoro ́s. These are interesting chapters in this book. Carl Johan Calleman, PhD (Mexico), writes about “The Origin and History of the Human Mind,” and Attila Grandpierre, PhD (Hungary), writes “All Is One: The One, the Universe, and Consciousness.” Gerard J. F. Blommestijn, PhD (Netherlands), has “A Theory on the Relation between Quantum Mechanical Reduction Process and Consciousness.” “Direct Experience: The Open Door to Realize Limitless Consciousness” is Klaus Stüben’s, PhD (Germany), interesting chapter. Anita Westlund has “Finding of a Big Chakra Involving the Cheops Pyramid of Giza.” It is built on the Fibonacci series of holy numbers. It is a circle quadrature in the very soil matter of the globe. “Music and Consciousness” is Alexander Graur ́s fabulous chapter, and “Can Consciousness Influence Our Epigenetics and Can Epigenetic Influence Our Consciousness” is Ingrid Fredriksson ́s part on our day’s new paradigm. The book is fascinating, highly educational, and informative—a must-have!

In the light of changes the government has launched as part of its welfare to work initiatives, this text explores apprenticeship. The authors set the historical context and discuss the theoretical and practical aspects of acquiring the necessary knowledge and skills for competence.

This original book provides readers with an overview of the latest developments in personalized medicine clinical trials in oncology. The topics covered range from the rationale behind this new generation of clinical trials and the latest statistical models for high-throughput molecular techniques, bioinformatics, high-throughput screening molecular techniques and the challenges entailed by implementing them in daily practice. It also covers the key role of pathology in the validation of molecular results and the complex assessment of predictive biomarkers. The different topics covered are supplemented by unique concrete examples based on the SHIVA trial. The authors are all members of the French Curie Institute, one of the world’s foremost cancer research institutions.