In this book Timothy D. Carroll unveils God as the source of being and integrating all the components of life, demonstrating the essential connection points within humanity’s relationship to the divine, as portrayed within a matrix. Presenting God as the universal Father of humanity, he explains the significance of both the divine logos, where God is seen face-to-face with himself, and the humanity of the divine. Timothy does this all while keeping the reader mindful of his own origin, identity, and destiny. The unique blending of the spiritual and the theological makes this book profoundly accessible to both the young in faith and those who are mature, from the idea of a spiritual matrix to insights into the doctrine of hell, while closing the book with his own ninety-five theses on universal reconciliation and love.
In this book Timothy D. Carroll unveils God as the source of being and integrating all the components of life, demonstrating the essential connection points within humanity’s relationship to the divine, as portrayed within a matrix. Presenting God as the universal Father of humanity, he explains the significance of both the divine logos, where God is seen face-to-face with himself, and the humanity of the divine. Timothy does this all while keeping the reader mindful of his own origin, identity, and destiny. The unique blending of the spiritual and the theological makes this book profoundly accessible to both the young in faith and those who are mature, from the idea of a spiritual matrix to insights into the doctrine of hell, while closing the book with his own ninety-five theses on universal reconciliation and love.
The BEST EDITION yet of the #1 text for surgical practice and education A Doody's Core Title for 2022! For half-a-century, no other text has provided such a solid grounding in basic science, anatomy, operative techniques, and more recently, professional development and leadership training, as Schwartz’s Principles of Surgery. Written by the world’s foremost surgeons, this landmark reference offers distinctly modern and all-encompassing coverage of every important topic in general surgery. Enhanced by a new two volume presentation, the Eleventh Edition has been completely updated and refreshed with an emphasis on state-of-the-art, evidence-based surgical care. You will find an exciting array of new contributors from around the world, new chapters on cutting-edge topics, plus the acclaimed learning aids that make the material easier to understand and memorize. This outstanding content is bolstered by more than 800 photographs and 1,300 line drawings, most in full color, as well as online videos demonstrating key operations. Here’s why the Eleventh Edition is the best edition yet: Six timely new chapters on important topics such as enhanced recovery after surgery (ERAS), ambulatory/outpatient surgery, evidence for surgery practice, skills and simulation, and web-based education and social media High-quality full-color design showcases an unsurpassed illustration program Emphasis on high-yield discussion of diagnosis and treatment of surgical disease, arranged by organ system and surgical specialty Acclaimed learning aids (many new to this edition), including an abundance of completely up-to-date tables that summarize the most current evidence, boxed key points, detailed anatomical figures, diagnostic and management algorithms, and an abundance of completely up-to-date tables, and key references More than the field’s cornerstone textbook, Schwartz’s Principles of Surgery is an international compendium of the knowledge and technique of the world’s leading surgeons.
Now in a fully revised Fourth Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field. This edition continues to provide comprehensive coverage of the principles and methods for the design, analysis, and interpretation of epidemiologic research. Featuring a new format allowing space for margin notes, this edition • Reflects both the conceptual development of this evolving science and the increasing role that epidemiology plays in improving public health and medicine. • Features new coverage of methods such as agent-based modeling, quasi-experimental designs, mediation analysis, and causal modeling. • Updates coverage of methods such as concepts of interaction, bias analysis, and time-varying designs and analysis. • Continues to cover the full breadth of epidemiologic methods and concepts, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, field methods, surveillance, ecologic designs, and use of secondary data sources. • Includes data analysis topics such as Bayesian analysis, probabilistic bias analysis, time-to-event analysis, and an extensive overview of modern regression methods including logistic and survival regression, splines, longitudinal and cluster-correlated/hierarchical data analysis, propensity scores and other scoring methods, and marginal structural models. • Summarizes the history, specialized aspects, and future directions of topical areas, including among others social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, psychiatric epidemiology, injury and violence epidemiology, and pharmacoepidemiology.
This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods. As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.
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