Elements Of Clinical Study Design, Biostatistics & Research is designed as a toolbox for biomedical researchers. The book's primary focus is on applications in clinical research, and will benefit students and researchers involved in the biomedical field. This book addresses the problems that many practitioners experience in choosing and implementing fit-for-purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is written in simple lang...

In the past thirty years epidemiology has matured from a fledgling scientific field into a vibrant discipline that brings together the biological and social sciences, and in doing so draws upon disciplines ranging from statistics and survey sampling to the philosophy of science. These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the...

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 heal...

The ideal way to develop sound judgment about data applicable to clinical careFirst choice of students, educators, and practitionersA thorough, meaningful, and interesting presentation of biostatisticsHelps students become informed users and consumers of biostatisticsLearn to evaluate and apply statistics in medicine, medical research, and all health-related fields.Emphasis on the basics of biostatistics and ep...

In the years since it first published, Neuroeconomics: Decision Making and the Brain has become the standard reference and textbook in the burgeoning field of neuroeconomics. The second edition, a nearly complete revision of this landmark book, will set a new standard. This new edition features five sections designed to serve as both classroom-friendly introductions to each of the major subareas in neuroeconomics, and as advanced synopses of all that has been accomplished in the last two d...

Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the need...

Having an understanding of critical appraisal and evidence-based medicine is a prerequisite to being an effective clinician. However, critical appraisal is often taught by people not involved in day-to-day clinical care, meaning the clinical relevance is not always brought to the fore.This book takes a different approach. It is written by clinicians, for clinicians. It takes the reader step by step through the process so that any journal article can be easily read, evidence evaluat...

One of the most crucial skills a clinician, scientist, or student can learn is to create, conduct, and interpret the conclusions of a clinical study. Critical Thinking in Clinical Research teaches these fundamentals in four distinct sections, called “units”: the first unit focuses on issues surrounding the design of a study such as population, question selection, randomization, and blinding; Unit 2 presents statistical methods such as analyzing data collected, how to present and d...

Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book's organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literatu...

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular h...

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.Treating these topics together takes advantage of all they have in common. The authors poi...

Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, and individualized approaches to diagnostic testing and treatment. The current era of evidence-based medicine asks for an individualized appr...