Principles of Biostatistics, Second Edition

 Statistics  Comments Off on Principles of Biostatistics, Second Edition
Apr 142018
 

This edition is a reprint of the second edition published in 2000 by Brooks/Cole and then Cengage Learning.

Principles of Biostatistics is aimed at students in the biological and health sciences who wish to learn modern research methods. It is based on a required course offered at the Harvard School of Public Health. In addition to these graduate students, many health professionals from the Harvard medical area attend as well.

The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them.

The supplements include a manual for students with solutions for odd-numbered exercises, a manual for instructors with solutions to all exercises, and selected data sets.

Marcello Pagano is Professor of Statistical Computing in the Department of Biostatistics at the Harvard School of Public Health. His research in biostatistics is on computer intensive inference and surveillance methods that involve screening methodologies, with their associated laboratory tests, and in obtaining more accurate testing results that use existing technologies.

Kimberlee Gauvreau is Associate Professor in the Department of Biostatistics and Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau’s research focuses on biostatistical issues arising in the field of pediatric cardiology. She also works on the development and validation of methods of adjustment for case mix complexity.

 

 

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 Posted by at 6:22 pm

Dental Statistics Made Easy, Third Edition

 Dentistry, Statistics  Comments Off on Dental Statistics Made Easy, Third Edition
Apr 122018
 

This essential textbook presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for further reading and exercises complete with detailed solutions. There is an emphasis on the principles and application of statistics without the use of algebra.

The statistical material is strongly rooted in practical examples drawn from a wide range of journal articles representing both dental health care delivery and clinical dentistry. The perspective is international, with papers drawn from a variety of settings around the world. Many articles are recent and report contemporary developments in dental care.

The intended audience includes dental students and practitioners, those engaged in dental research and other health care professionals. For students and tutors, it covers the undergraduate curriculum, and the exercises and solutions make it ideal for course use. For practitioners and researchers it provides the first principles of study design, accessing the dental literature, and the preparation and publication of original dental research.

 

 

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Statistics in the Health Sciences: Theory, Applications, and Computing

 Statistics  Comments Off on Statistics in the Health Sciences: Theory, Applications, and Computing
Apr 092018
 

“This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS.”― Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA

“It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book’s purview―fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection―are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject.” ― Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton

This book should be appropriate for use both as a text and as a reference. This book delivers a “ready-to-go” well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures.

The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.

 

 

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A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty

 Epidemiology, Statistics  Comments Off on A Clinician’s Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty
Apr 022018
 

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 coverage of causation and the conceptual, philosophical and political factors involved, with forthright discussion of the pharmaceutical industry’s role in psychiatric research. By creating a greater understanding of the world of research, this book empowers health professionals to make their own judgments on which statistics to believe – and why.

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 Posted by at 12:52 pm

Statistical Methodologies with Medical Applications

 Statistics  Comments Off on Statistical Methodologies with Medical Applications
Mar 222018
 

This book presents the methodology and applications of a range of important topics in statistics, and is designed for graduate students in Statistics and Biostatistics and for medical researchers. Illustrations and more than ninety exercises with solutions are presented.

They are constructed from the research findings of the medical journals, summary reports of the Centre for Disease Control (CDC) and the World Health Organization (WHO), and practical situations. The illustrations and exercises are related to topics such as immunization, obesity, hypertension, lipid levels, diet and exercise, harmful effects of smoking and air pollution, and the benefits of gluten free diet.

This book can be recommended for a one or two semester graduate level course for students studying Statistics, Biostatistics, Epidemiology and Health Sciences. It will also be useful as a companion for medical researchers and research oriented physicians.

 

 

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Statistics for Health Care Professionals

 Statistics  Comments Off on Statistics for Health Care Professionals
Feb 282018
 

Statistics for Health Care Professionals is an accessible guide to understanding statistics within health care practice. Focusing on quantitative approaches to investigating problems, the book introduces the basic rules and principles of statistics.

 

 

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 Posted by at 5:18 pm

Statistical Topics in Health Economics and Outcomes Research

 Statistics  Comments Off on Statistical Topics in Health Economics and Outcomes Research
Feb 152018
 

 

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options.

While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues.

The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.

 

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 Posted by at 4:42 pm

Basic & Clinical Biostatistics: Fourth Edition (LANGE Basic Science) 4th Edition

 Statistics  Comments Off on Basic & Clinical Biostatistics: Fourth Edition (LANGE Basic Science) 4th Edition
Feb 132018
 

A comprehensive user-friendly introduction to biostatistics and epidemiology applied to medicine, clinical practice, and research. Features “Presenting Problems” (case studies) drawn from studies published in the medical literature, end-of-chapter, and a CD-ROM with data sets and statistical software programs.
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 Posted by at 9:28 am

Introduction to Statistics in Pharmaceutical Clinical Trials

 Pharmacology, Statistics  Comments Off on Introduction to Statistics in Pharmaceutical Clinical Trials
Feb 022018
 

This book is a self-contained introduction to Statistics, presented in the context of clinical trials and pharmaceutical drug development. It focuses on the statistical analyses most commonly used in drug development and is therefore an ideal introduction to pharmaceutical statistics. Instead of introducing a series of statistical techniques, the book’s organizational structure follows the order in which numerical information and statistical analyses are used in trials and new drug development.All students taking classes in pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application and importance of Statistics. They need to understand:why, and how data are collected in clinical trials; how these data are summarized and analyzed; what the results mean in the context of the clinical research question; and, how the results are communicated to regulatory agencies and to scientific and medical communities.This title therefore adopts a unique approach and concept in organization of the content. It begins with an introduction to statistical theory, analysis and interpretation. This is followed by a discussion of t-tests and confidence intervals. Readers are then taken through the whole process of new drug development (using one specific example throughout) that is meaningful in the context of their broader studies. Throughout this process, statistical techniques and analyses are introduced in the order in which they are employed during the process.The book’s realistic scientific and progressive organization from pre-clinical trials to clinical pharmacology through clinical trials is novel, meaningful and educationally powerful. The book emphasises the importance of descriptive statistics as well as inferential statistics, something that is rarely done.Supplementary material is included for this text on the PharmPress website in the form of PowerPoint lecture notes on Statistics (based on content of this book) that can be downloaded by lecturers.
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 Posted by at 7:23 pm

DNA Methylation

 Immunology, Microbiology, Statistics  Comments Off on DNA Methylation
Feb 022018
 

The structural and functional importance of the correct patterns of DNA methylation in all parts of a mammalian genome is, unfortunately, not well understood. The stability, inheritability, and developmental flexibility of these patterns all point to a major role that these patterns appear to play in determining structure and function of the genome.

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 Posted by at 7:11 pm