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Showing: 1-10 results of 915

Now in its tenth edition, the Oxford Handbook of Clinical Medicine has been fully revised, with five new authors on the writing team bringing content fresh from the bedside. Space has been breathed into the design, with more core material at your fingertips in quick-reference lists and flow diagrams, and key references have been honed to the most up-to-date and relevant. Each page has been updated to reflect the latest changes in practice and best... more...

The first edition of the Encyclopedia of Biostatistics proved an outstanding achievement in scientific publishing. A truly international work, its coverage ranges through statistical issues pertinent to life scientists, healthcare professionals and practising statisticians.Wiley is now pleased to announce the Second Edition of this landmark reference work publishing in February 2005.  Drawing on the expertise of the original editorial team the new... more...

Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implement immediately the techniques.

Ecological and environmental research has increased in scope and complexity in the last few decades, from simple systems with a few managed variables to complex ecosystems with many uncontrolled variables. These issues encompass problems that are inadequately addressed using the types of carefully controlled experiments that dominate past ecological research. Contemporary challenges facing ecologists include whole ecosystem responses to... more...

As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. Methods of Microarray Data Analysis IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival... more...


This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects... more...

This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revised considerably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, data... more...

NOTE: This ASIN is text alone which automatically includes access to a different digital product; EESEE. This remarkably engaging textbook gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Moore’s The Basic Practice of Statistics, PSLS... more...

This practical book on wetland techniques provides an overview of the various methods that have been used or developed by researchers and practitioners to study, monitor, manage, or create wetlands.

This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government, and industry perspectives. The 6 sections cover Bayesian methods in biomedical research; Diagnostic medicine and classification; Innovative Clinical Trials Design; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic medicine and genetics. The... more...