International monograph about this outstanding New York architect, engineer and artist.

Often seen as supernatural, unpredictable, illusory and possibly dangerous, ESP, telepathy, clairvoyance and other parapsychological activities are actually happening all the time and help us make sense of everyday experiences. First Sight provides a new way of understanding such experiences and describes a way of thinking about the unconscious mind that makes it clear that these abilities are not rare and anomalous, but instead are used by all of us all the time, unconsciously and efficiently. Drawing upon a broad array of studies in contemporary psychology, the author integrates a new model for understanding these unusual abilities with the best research in psychology on problems as diverse as memory, perception, personality, creativity and fear. In doing so, he illustrates how the field of parapsychology, which, historically, has been riddled with confusion, skepticism and false claims, can move from the edges of science to its center, where it will offer fascinating new knowledge about unmapped aspects of our nature. The author demonstrates that the new model accounts for accumulated findings very well, and explains previous mysteries, resolves apparent contradictions, and offers clear directions for further study. First Sight also ventures beyond the laboratory to explain such things as why apparent paranormal experiences are so rare, why they need not be feared, and how they can be more intentionally accessed. Further study of this theory is likely to lead to a "technology" of parapsychological processes while drastically revising our conception of the science of the mind toward a new science more humane and more replete with possibility than we have imagined in the past.

The supreme addresses of choice in New York are on Park Avenue and on Fifth Avenue, but merely living on either of these famous boulevards is not enough. The ultimate aspiration is to dwell in a suite of rooms designed by one of the two masters of apartm

Jamie Carpenter's father is dead, his mother is missing, and he was just rescued by an enormous creature named Frankenstein. Now Jamie is pulled into a secret organization responsible for policing the supernatural, founded more than a century ago by Abraham Van Helsing. . . . Department Nineteen takes us through history, across Europe, and beyond - from the cobbled streets of Victorian London to prohibition-era New York, from the icy wastes of Arctic Russia to the treacherous mountains of Transylvania. Part modern thriller, part classic horror, it's packed with mystery, mayhem, and a level of suspense that makes a Darren Shan novel look like a romantic comedy.

Two essays and a set of original diagrams consider the parameters of the "something beyond" in James Carpenter's projects. Photographs and extended captions from Carpenter complete this book's documentation of key projects.

A practical guide to analysing partially observeddata. Collecting, analysing and drawing inferences from data iscentral to research in the medical and social sciences.Unfortunately, it is rarely possible to collect all the intendeddata. The literature on inference from the resultingincomplete data is now huge, and continues to grow both asmethods are developed for large and complex data structures, and asincreasing computer power and suitable software enable researchersto apply these methods. This book focuses on a particular statistical method foranalysing and drawing inferences from incomplete data, calledMultiple Imputation (MI). MI is attractive because it is bothpractical and widely applicable. The authors aim is to clarify theissues raised by missing data, describing the rationale for MI, therelationship between the various imputation models and associatedalgorithms and its application to increasingly complex datastructures. Multiple Imputation and its Application: Discusses the issues raised by the analysis of partiallyobserved data, and the assumptions on which analyses rest. Presents a practical guide to the issues to consider whenanalysing incomplete data from both observational studies andrandomized trials. Provides a detailed discussion of the practical use of MI withreal-world examples drawn from medical and social statistics. Explores handling non-linear relationships and interactionswith multiple imputation, survival analysis, multilevel multipleimputation, sensitivity analysis via multiple imputation, usingnon-response weights with multiple imputation and doubly robustmultiple imputation. Multiple Imputation and its Application is aimed atquantitative researchers and students in the medical and socialsciences with the aim of clarifying the issues raised by theanalysis of incomplete data data, outlining the rationale for MIand describing how to consider and address the issues that arise inits application.