The Spanish author Benito Pérez Galdós (1843-1920) produced an immense oeuvre of novels, stories, plays, and journalism that addressed the political, social, and aesthetic questions of his time. This volume will give any instructor interested in teaching Galdós, including those who want to teach the works in translation, exciting ways of exploring his writing with their students.Galdós's concerns included the emergence of feminism, religion's power, the rising middle class, Spain's...

This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. The intent of the book is to provide an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out analyses. While classic topic...

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical mode...

This edited volume examines the historical, political, cultural, and aesthetic implications of re-visiting Restoration Spain (1874-1931) in television costume dramas produced since 2000. Contributors analyze, from different theoretical approaches and disciplinary perspectives, the appeal that the late nineteenth and early twentieth centuries hold for twenty-first-century Spanish audiences, as well as for international viewers who consume these programs through new media platforms. Themes a...

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely us...

The new, completely revised, and updated edition of this classic text --sponsored by the International Epidemiological Association (IEA) and previously edited by John Last-- remains the definitive dictionary in epidemiology worldwide. In fact, with contributions from over 220 epidemiologists and other users of epidemiology from around the globe, it is more than a dictionary: it includes explanations and comments on both core epidemiologic terms and on other scientific terms relevant to all...

Accessible and clinically relevant, A Clinician's Guide to Statistics and Epidemiology in Mental Health describes statistical concepts in plain English with minimal mathematical content, making it perfect for the busy health professional. Using clear language in favour of complex terminology, limitations of statistical techniques are emphasized, as well as the importance of interpretation - as opposed to 'number-crunching' - in analysis. Uniquely for a text of this kind, there is extensive...

Since publication of the first three editions of this hugely successful book, systematic methods of critical appraisal have been accepted as central to healthcare provision, both in critical applications and in a wider health services and community perspective. This new edition builds on the work of the previous editions by presenting a fully updated and accessible system of critical appraisal applicable to clinical, epidemiological, and public health studies, and related fields. The book ...

Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categoric...

Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards. P...

Do statistics-heavy research papers give you a headache? Are you baffled by bias, confused by correlation, or flummoxed by F-tests? A Guide for the Statistically Perplexed is here to help! This book is designed to assist students, clinicians, and researchers in becoming familiar with statistical and research techniques by covering the essentials of the topic and drawing attention to many common problem areas.Inspired to write on this topic in reaction to mistakes he encoun...

This book will examine current issues and controversies in the design of clinical trials, including topics in adaptive and sequential designs, the design of correlative genomic studies, the design of studies in which missing data is anticipated. Each chapter will be written by an expert conducting research in the topic of that chapter. As a collection, the chapters would be intended to serve as a guidance for statisticians designing trials.