Stay Connected: Art and China Since 2008 is a landmark compendium produced by Tai Kwun Contemporary and Asia Art Archive. Bringing together over 80 artists from China and beyond, the volume maps artistic responses to the profound social, economic, and technological shifts of the 21st century. Structured around nine keywords, it features newly commissioned essays by curators, writers, and scholars, alongside short texts on artworks and an extensive archival section. With three in-depth cura...

In Intimate Relationships in China in the Light of Depth Psychology: A Study of Gender and Integrity, Huan Wang presents an overview of Jungian ideas as they apply to gender roles and relationships in contemporary Chinese culture. Moving beyond a Western interpretation of key concepts, Wang attempts to understand and deal with the difficulties of contemporary marriages in a rapidly changing society, investigating how young Chinese couples have been affected by traditional values, ...

Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bia...

The Immunology Guidebook provides an easily accessible text-reference to the more up-to-date and difficult concepts in the complex science of immunology. It aims to demystify basic concepts and specialised molecular and cellular interactions. Its 18 chapters offer a logical and sequential presentation where much of the data is displayed in carefully designed tables. This book is intended for immunology students, researchers, practitioners and basic biomedical scientists. - Tables provide a...

Drug fundamentals, plus the most frequently prescribed drug classifications - including indications, reactions, examples & more. This guide includes: definitions, drug names, pharmacodynamics, pharmacokinetics, schedule drugs, pharmaceutical classifications, adrenergics, adrenocorticoids, alpha-adrenergic blockers, aminoglycosides, androgens, angiotensin - converting enzymes inhibitors, angiotensin II receptor antagonists, anticholinergics, anticoagulants, antihistamines, anxiolytic skeletal ...

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex model...

Approx.464 pagesApprox.464 pages - Get the depth of coverage you need in a smaller, more manageably sized book. Through meticulous editing and reorganization, primary material remains in the book while more specialized and clinical material has been moved online. - Master the most cutting-edge concepts in immunology. Thorough updates throughout provide the timely knowledge you need ace your exams.

The renowned one-stop guide to the entire field of clinical endocrinology and its scientific underpinnings – now in full color270+ full-color photographs and illustrations!A Doody's Core Title for 2011!4 STAR DOODY'S REVIEW!"This is an excellent overview of the basic physiology and clinical aspects of endocrinology for trainees. The size of the book and the well-written text, support...

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency.This book:Provides a unified approach...

CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can...

A valuable overview of the most important ideas and results in statistical modelingWritten by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted mo...

* Includes a new chapter on logistic regression.* Discusses the design and analysis of random trials.* Explores the latest applications of sample size tables.* Contains a new section on binomial distribution.